Application of wavelet techniques for cancer diagnosis using ultrasound images: A Review
Ultrasound is an important and low cost imaging modality used to study the internal organs of human body and blood flow through blood vessels. It uses high frequency sound waves to acquire images of internal organs. It is used to screen normal, benign and malignant tissues of various organs. Healthy...
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| Vydané v: | Computers in biology and medicine Ročník 69; s. 97 - 111 |
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| Hlavní autori: | , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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United States
Elsevier Ltd
01.02.2016
Elsevier Limited |
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| ISSN: | 0010-4825, 1879-0534, 1879-0534 |
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| Abstract | Ultrasound is an important and low cost imaging modality used to study the internal organs of human body and blood flow through blood vessels. It uses high frequency sound waves to acquire images of internal organs. It is used to screen normal, benign and malignant tissues of various organs. Healthy and malignant tissues generate different echoes for ultrasound. Hence, it provides useful information about the potential tumor tissues that can be analyzed for diagnostic purposes before therapeutic procedures. Ultrasound images are affected with speckle noise due to an air gap between the transducer probe and the body. The challenge is to design and develop robust image preprocessing, segmentation and feature extraction algorithms to locate the tumor region and to extract subtle information from isolated tumor region for diagnosis. This information can be revealed using a scale space technique such as the Discrete Wavelet Transform (DWT). It decomposes an image into images at different scales using low pass and high pass filters. These filters help to identify the detail or sudden changes in intensity in the image. These changes are reflected in the wavelet coefficients. Various texture, statistical and image based features can be extracted from these coefficients. The extracted features are subjected to statistical analysis to identify the significant features to discriminate normal and malignant ultrasound images using supervised classifiers. This paper presents a review of wavelet techniques used for preprocessing, segmentation and feature extraction of breast, thyroid, ovarian and prostate cancer using ultrasound images.
•Application of DWT for cancer detection using ultrasound images is reviewed.•Breast, thyroid, ovary and prostate cancers are considered.•Preprocessing, segmentation and feature extraction using DWT are studied. |
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| AbstractList | Ultrasound is an important and low cost imaging modality used to study the internal organs of human body and blood flow through blood vessels. It uses high frequency sound waves to acquire images of internal organs. It is used to screen normal, benign and malignant tissues of various organs. Healthy and malignant tissues generate different echoes for ultrasound. Hence, it provides useful information about the potential tumor tissues that can be analyzed for diagnostic purposes before therapeutic procedures. Ultrasound images are affected with speckle noise due to an air gap between the transducer probe and the body. The challenge is to design and develop robust image preprocessing, segmentation and feature extraction algorithms to locate the tumor region and to extract subtle information from isolated tumor region for diagnosis. This information can be revealed using a scale space technique such as the Discrete Wavelet Transform (DWT). It decomposes an image into images at different scales using low pass and high pass filters. These filters help to identify the detail or sudden changes in intensity in the image. These changes are reflected in the wavelet coefficients. Various texture, statistical and image based features can be extracted from these coefficients. The extracted features are subjected to statistical analysis to identify the significant features to discriminate normal and malignant ultrasound images using supervised classifiers. This paper presents a review of wavelet techniques used for preprocessing, segmentation and feature extraction of breast, thyroid, ovarian and prostate cancer using ultrasound images.
•Application of DWT for cancer detection using ultrasound images is reviewed.•Breast, thyroid, ovary and prostate cancers are considered.•Preprocessing, segmentation and feature extraction using DWT are studied. Abstract Ultrasound is an important and low cost imaging modality used to study the internal organs of human body and blood flow through blood vessels. It uses high frequency sound waves to acquire images of internal organs. It is used to screen normal, benign and malignant tissues of various organs. Healthy and malignant tissues generate different echoes for ultrasound. Hence, it provides useful information about the potential tumor tissues that can be analyzed for diagnostic purposes before therapeutic procedures. Ultrasound images are affected with speckle noise due to an air gap between the transducer probe and the body. The challenge is to design and develop robust image preprocessing, segmentation and feature extraction algorithms to locate the tumor region and to extract subtle information from isolated tumor region for diagnosis. This information can be revealed using a scale space technique such as the Discrete Wavelet Transform (DWT). It decomposes an image into images at different scales using low pass and high pass filters. These filters help to identify the detail or sudden changes in intensity in the image. These changes are reflected in the wavelet coefficients. Various texture, statistical and image based features can be extracted from these coefficients. The extracted features are subjected to statistical analysis to identify the significant features to discriminate normal and malignant ultrasound images using supervised classifiers. This paper presents a review of wavelet techniques used for preprocessing, segmentation and feature extraction of breast, thyroid, ovarian and prostate cancer using ultrasound images. Ultrasound is an important and low cost imaging modality used to study the internal organs of human body and blood flow through blood vessels. It uses high frequency sound waves to acquire images of internal organs. It is used to screen normal, benign and malignant tissues of various organs. Healthy and malignant tissues generate different echoes for ultrasound. Hence, it provides useful information about the potential tumor tissues that can be analyzed for diagnostic purposes before therapeutic procedures. Ultrasound images are affected with speckle noise due to an air gap between the transducer probe and the body. The challenge is to design and develop robust image preprocessing, segmentation and feature extraction algorithms to locate the tumor region and to extract subtle information from isolated tumor region for diagnosis. This information can be revealed using a scale space technique such as the Discrete Wavelet Transform (DWT). It decomposes an image into images at different scales using low pass and high pass filters. These filters help to identify the detail or sudden changes in intensity in the image. These changes are reflected in the wavelet coefficients. Various texture, statistical and image based features can be extracted from these coefficients. The extracted features are subjected to statistical analysis to identify the significant features to discriminate normal and malignant ultrasound images using supervised classifiers. This paper presents a review of wavelet techniques used for preprocessing, segmentation and feature extraction of breast, thyroid, ovarian and prostate cancer using ultrasound images. Ultrasound is an important and low cost imaging modality used to study the internal organs of human body and blood flow through blood vessels. It uses high frequency sound waves to acquire images of internal organs. It is used to screen normal, benign and malignant tissues of various organs. Healthy and malignant tissues generate different echoes for ultrasound. Hence, it provides useful information about the potential tumor tissues that can be analyzed for diagnostic purposes before therapeutic procedures. Ultrasound images are affected with speckle noise due to an air gap between the transducer probe and the body. The challenge is to design and develop robust image preprocessing, segmentation and feature extraction algorithms to locate the tumor region and to extract subtle information from isolated tumor region for diagnosis. This information can be revealed using a scale space technique such as the Discrete Wavelet Transform (DWT). It decomposes an image into images at different scales using low pass and high pass filters. These filters help to identify the detail or sudden changes in intensity in the image. These changes are reflected in the wavelet coefficients. Various texture, statistical and image based features can be extracted from these coefficients. The extracted features are subjected to statistical analysis to identify the significant features to discriminate normal and malignant ultrasound images using supervised classifiers. This paper presents a review of wavelet techniques used for preprocessing, segmentation and feature extraction of breast, thyroid, ovarian and prostate cancer using ultrasound images.Ultrasound is an important and low cost imaging modality used to study the internal organs of human body and blood flow through blood vessels. It uses high frequency sound waves to acquire images of internal organs. It is used to screen normal, benign and malignant tissues of various organs. Healthy and malignant tissues generate different echoes for ultrasound. Hence, it provides useful information about the potential tumor tissues that can be analyzed for diagnostic purposes before therapeutic procedures. Ultrasound images are affected with speckle noise due to an air gap between the transducer probe and the body. The challenge is to design and develop robust image preprocessing, segmentation and feature extraction algorithms to locate the tumor region and to extract subtle information from isolated tumor region for diagnosis. This information can be revealed using a scale space technique such as the Discrete Wavelet Transform (DWT). It decomposes an image into images at different scales using low pass and high pass filters. These filters help to identify the detail or sudden changes in intensity in the image. These changes are reflected in the wavelet coefficients. Various texture, statistical and image based features can be extracted from these coefficients. The extracted features are subjected to statistical analysis to identify the significant features to discriminate normal and malignant ultrasound images using supervised classifiers. This paper presents a review of wavelet techniques used for preprocessing, segmentation and feature extraction of breast, thyroid, ovarian and prostate cancer using ultrasound images. |
| Author | Molinari, Filippo Fujita, Hamido Ng, Kwan Hoong Acharya, U Rajendra Chandran, Vinod Mookiah, Muthu Rama Krishnan Sudarshan, Vidya K |
| Author_xml | – sequence: 1 givenname: Vidya K surname: Sudarshan fullname: Sudarshan, Vidya K organization: Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, 599489, Singapore – sequence: 2 givenname: Muthu Rama Krishnan surname: Mookiah fullname: Mookiah, Muthu Rama Krishnan email: mkm2@np.edu.sg, mrk2k2@gmial.com organization: Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, 599489, Singapore – sequence: 3 givenname: U Rajendra surname: Acharya fullname: Acharya, U Rajendra organization: Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, 599489, Singapore – sequence: 4 givenname: Vinod surname: Chandran fullname: Chandran, Vinod organization: School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane QLD 4000, Australia – sequence: 5 givenname: Filippo surname: Molinari fullname: Molinari, Filippo organization: Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Torino, Italy – sequence: 6 givenname: Hamido surname: Fujita fullname: Fujita, Hamido organization: Faculty of Software and Information Science, Iwate Prefectural University (IPU), Iwate 020-0693, Japan – sequence: 7 givenname: Kwan Hoong surname: Ng fullname: Ng, Kwan Hoong organization: Department of Biomedical Imaging, Faculty of Medicine, University of Malaya, 50603, Malaysia |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/26761591$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1109/34.192463 10.1186/1471-2407-9-84 10.1016/S0301-5629(01)00491-4 10.1109/TUFFC.2012.2510 10.1016/j.patcog.2010.04.023 10.2214/AJR.09.3562 10.7785/tcrt.2012.500346 10.1016/j.ultras.2011.11.003 10.1109/TMI.2013.2279938 10.1016/j.compmedimag.2007.02.002 10.1109/5992.877391 10.1109/JSTSP.2008.2011160 10.1109/34.531803 10.1016/j.maturitas.2014.12.009 10.1016/S0301-5629(02)00620-8 10.1109/TBME.2015.2404300 10.1016/j.clinimag.2004.08.002 10.1507/endocrj.K08E-084 10.1109/51.464771 10.5121/ijcses.2012.3406 10.1049/ip-vis:20050975 10.1148/radiol.2262011843 10.1016/S0301-5629(02)00788-3 10.1243/09544119JEIM656 10.1016/S0025-6196(11)61196-8 10.1016/j.clinimag.2012.09.024 10.1142/S021969130500097X 10.1007/s10278-006-1041-6 10.1109/42.363095 10.1016/j.ultrasmedbio.2015.02.014 10.21917/ijivp.2014.0123 10.1016/j.compbiomed.2013.10.029 10.1007/978-0-387-88441-7_8 10.1016/j.media.2005.06.003 10.1016/j.chemolab.2004.02.005 10.1007/BF02345953 10.1109/ICONIP.2002.1198171 10.4028/www.scientific.net/AMM.573.471 10.1148/radiol.2373050220 10.1002/uog.5365 10.7785/tcrt.2012.500214 10.1016/j.cmpb.2006.09.006 10.1016/S0002-9378(13)70284-9 10.1109/TIP.2010.2044962 10.1006/gyno.1993.1238 10.1016/j.cmpb.2011.10.001 10.3322/caac.21208 10.2217/fon.10.127 10.1016/j.bspc.2013.06.011 10.1016/j.patcog.2005.07.006 10.1109/TMI.2009.2034517 10.7863/jum.2006.25.5.649 10.1118/1.4883815 10.1109/TBME.2008.923140 10.1016/j.compbiomed.2007.02.008 10.1148/radiol.2442060712 10.7326/0003-4819-133-11-200012050-00009 10.1109/TBME.2008.2008725 10.1007/BF02480852 10.1049/cp:19970958 10.1016/S0301-5629(99)00052-6 10.7785/tcrtexpress.2013.600273 10.7763/IJCTE.2009.V1.2 10.1177/0954411912472422 10.1109/RBME.2014.2319854 10.1109/TMI.2005.862737 10.1007/978-1-4419-8606-1_57 10.1016/j.dsp.2006.12.001 10.1118/1.1485995 10.1177/107327480601300202 10.7326/0003-4819-126-3-199702010-00009 10.1109/TGRS.2002.802473 10.1118/1.3689811 10.1016/j.dsp.2005.12.003 10.1016/S1076-6332(03)80289-1 10.1016/j.compmedimag.2008.10.010 10.3174/ajnr.A2923 10.1109/EMBC.2012.6345965 10.2174/157340506776930665 10.1243/09544119JEIM604 10.1016/S0033-8389(05)70197-4 10.1109/51.464770 10.1109/IEMBS.2005.1616230 10.1016/S0167-8655(02)00181-2 10.1117/12.595295 10.1109/EMBC.2012.6346953 10.1210/jcem.87.5.8504 10.1007/978-3-540-74260-9_93 10.1111/j.1479-828X.2008.00829.x 10.1007/s11547-006-0097-1 10.1148/radiol.2423051464 10.1088/0967-3334/26/5/R01 10.7863/jum.2007.26.6.807 10.1007/s10278-002-0011-x 10.1117/1.1338998 10.1109/T-SU.1978.30978 10.1097/00013644-200016030-00002 10.4103/2230-8210.83329 10.1109/TMI.2004.834617 10.1007/978-0-387-88441-7_37 10.2214/ajr.178.3.1780687 10.1016/j.cmpb.2010.04.015 10.1002/uog.5205 10.1148/radiology.184.3.1509041 10.7314/APJCP.2013.14.1.97 10.1148/radiology.217.3.r00dc20803 10.7785/tcrt.2012.500381 10.1007/s003300000465 10.1007/s10549-004-2043-z 10.1088/0031-9155/50/10/004 10.1016/j.compmedimag.2006.11.006 10.1177/1533034614547445 10.1016/S1076-6332(03)80044-2 10.1118/1.2174134 10.1109/TMI.2001.974915 10.1002/acs.893 10.4258/hir.2011.17.3.143 10.1155/2013/797924 |
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| Keywords | Thyroid cancer Wavelet transform Ultrasound image Breast cancer Prostate cancer Cancer Ovarian cancer |
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| References | Nikita, Alka (bib13) 2012; 50 Li, Qian, Clarke (bib132) 1997; 4 Acharya, Swapna, Vinitha Sree, Molinari, Gupta, Bardales, Witkowska, Suri (bib77) 2014; 13 Kinkel, Hricak, Lu, Tsuda, Filly (bib34) 2000; 217 Acharya, Vinitha Sree, Mookiah, Molinari, Garberoglio, Suri (bib76) 2012; 52 Doi (bib70) 2007; 31 Laine, Schuler, Fan, Huda (bib131) 1994 Sindhuja, Sadasivam (bib118) 2014; 4 Ain, Rosenthal (bib63) 2011 Laine, Fan, Yang (bib130) 1995; 14 Bharati, Liu, MacGregor (bib103) 2004; 72 Yang, Moon, Wang, Bae, Huang, Chen, Chang (bib145) 2013; 32 Kaur, Kaur (bib92) 2013; 2 DePriest, Shenson, Fried, Hunter, Andrews, Gallion, Pavlik, Kryscio, Van Nagell (bib50) 1993; 51 World Health Organisation (WHO) 2014. ed., New York, NY: Springer, 2010, pp. 87–92. Tay, Garson, Acton, Hossack (bib95) 2010; 19 Pfisterer, Aghdasi (bib129) 2001; 40 American Joint Committee on Cancer (AJCC), Ovary and primary peritoneal carcinoma, In: AJCC cancer staging manual, 7 Acharya, Sree, Swapna, Gupta, Molinari, Garberoglio, Witkowska., Suri. (bib116) 2013; 227 ed., New York: Springer, 2010, pp. 419–428. Tsantis, Dimitropoulos, Cavouras, Nikiforidis (bib112) 2006; 84 Pizurica, Wing, Vansteenkiste, Philips, Roerdink (bib93) 2006; 2 Timmerman, Testa, Bourne, Ameye, Jurkovic, Van Holsebeke, Paladini, Van Calster, Vergote, Van Huffel, Valentin (bib53) 2008; 31 . Kim, Park, In, Choo, Ryu, Jung (bib41) 2012; 33 Acharya, Molinari, Vinitha Sree, Swapna, Saba, Guerriero, Suri (bib82) 2015; 14 Zhang, Ravi, Wei (bib124) 2007; 37 Giger (bib72) 2000; 2 Ratnakar, Sunil, Nitisha (bib88) 2009; 2 Unnikrishnan, Menon (bib45) 2011; 15 Acharya, Faust., Vinithasree., Filippo., Jasjit. (bib68) 2012; 107 U.R. Acharya, S. Vinitha Sree, L. Saba, F. Molinari, S. Guerriero, J.S. Suri, Ovarian tumor characterization and classification: a class of GyneScan™ systems, In: Proceedings of the 2012 Annual International Conference of the IEEE, Engineering in Medicine and Biology Society (EMBC), IEEE, 2012, pp. 4446–4449. Acharya, Vinitha, Sree, Kulshreshtha, Molinari, Koh, Saba, Suri (bib142) 2014; 13 Chang, Wu, Moon, Chou, Chen (bib135) 2003; 10 Sahiner (bib28) 2007; 242 Rocha, Campilho, Silva, Azevedo, Santos (bib59) 2011; 101 C. Renz, J.C. Rajapakse, K. Razvi, S.K.C. Liang. Ovarian cancer classification with missing data, In: Proceedings of 9th international conference on neural information processing 2, 2002, pp. 809–813. Aletti, Gallenberg, Cliby, Jatoi, Hartmann (bib47) 2007; 82 Sawant, Vaishali (bib128) 2011; 1 Lee, Liu, Hung, Lei, Wang, Yang (bib144) 2009; 3 Bird, Wallace, Yankaskas (bib20) 1992; 184 Shankar, Piccoli, Reid, Forsberg, Goldberg (bib25) 2005; 50 Fei, David, Viraj, Hamed, Aaron, Peter (bib123) 2012 Lacey, Kreimer, Buys, Marcus, Chang, Leitzmann (bib5) 2009; 9 Jesneck, Lo, Baker (bib23) 2007; 244 Chang, Lei, Tseng, Shih (bib150) 2008; 57 Keramidas, Iakovidis, Maroulis, Karkanis (bib8) 2007; 4633 Subashini, Jeyanthi (bib120) 2014; 9 Joo, Yang, Moon, Kim (bib141) 2004; 23 Acharya, Mookiah, Vinitha, Sree, Yanti, Martis, Saba, Molinari, Guerriero, Suri (bib155) 2014; 35 Kishore, Kevin, Catherine, Flemming (bib143) 2006; 33 Sudarshan, Acharya, Ng, Chou, Tan, Ghista (bib67) 2015; 8 Park, Kong, Moon, Kim (bib104) 2007 American Cancer Society, 2014a. Acharya, Mookiah, Saba, Molinari, Guerriero, Suri (bib80) 2013 Kimura, Okamura, Watanabe, Yaegashi, Uehara, Yajima (bib83) 1998; 275 Maggio, Alessandro, Luca De, Martino, Nicolò, Guido (bib54) 2010; 29 Yan, Yu, Tinney, Baraldi, Liao (bib146) 2012; 39 (bib15) 2010 Lansford, Teknos (bib9) 2006; 13 Cheng, Shi, Min, Hu, Cai, Du (bib19) 2006; 39 Kim, Son, Kim (bib126) 2011; 17 Zhu, Stuart, Reyer (bib55) 2006; 10 Sudha, Suresh, Sukanesh (bib96) 2009; 1 Kim, Park, Chung, Oh, Kim, Lee, Yoo (bib35) 2002; 178 Khare, Tiwary (bib105) 2005; 3 Mallat (bib85) 1989; 11 Mussarat, Muhammad, Sajjad (bib32) 2013; 2 Rejani, Selvi (bib138) 2009; 1 Jalalian, Mashohor, Mahmud, Saripan, Ramli, Karasfi (bib75) 2013; 37 Acharya, Faust, Vinitha, Sree, Molinari, Garberoglio, Suri (bib154) 2011; 10 Gupta, Anand, Tyagi (bib91) 2012; 1 Huang, Jiang, Chen, Moon (bib102) 2007; 20 Boukerroui, Baskurt, Noble, Basse (bib111) 2003; 24 Tsantis, Spiliopoulos, Skouroliakou, Karnabatidis, Hazle, Kagadis (bib121) 2014; 41 Gupta, Kaur, Chauhan, Saxena (bib109) 2007; 17 Sudha., Suresh., Sukanesh. (bib100) 2009; 1 Gupta, Chauhan, Saxena (bib106) 2005; 152 Wang, Itoh, Taniguchi, Toei, Kawai, Nakamura, Omoto, Yokota, Ono (bib56) 2002; 2929 Zha, Qiu (bib108) 2006; 20 Richardson (bib133) 1995; 14 Erickson, Bartholmai (bib69) 2002; 15 US breast cancer statistics, 2015. Chang, Wu, Moon, Chen (bib101) 2005; 89 Dhawan (bib65) 2011; 544 Papini, Guglielmi, Bianchini, Crescenzi, Taccogna, Nardi, Panunzi, Rinaldi, Toscano, Pacella (bib36) 2002; 87 Kharchenko, Kotlyarov, Mogutov, Alexandrov, Sencha, Patrunov, Belyaev (bib60) 2010 Huang, Chen (bib136) 2005; 29 Aydin, Padayachee, Markus (bib84) 1999; 25 Gramellini, Fieni, Sanapo, Casilla, Verrotti, Nardelli (bib52) 2008; 48 Siegel, Ma, Zou, Jemal (bib3) 2014; 64 Tsantis, Dimitropoulos, Cavouras, Nikiforidis (bib151) 2009; 33 Halliwell (bib14) 2010; 224 Alka, Vishakha (bib115) 2013; 3 Maggio, Alessandro, Luca De, Martino, Nicolò, Guido (bib156) 2010; 29 X. Liu, Z. Huo, J. Zhang, Automated segmentation of breast lesions in ultrasound images, In:Proceedings of IEEE Engineering Medicine and Biology 27th Annual Conference, 7, 2005, pp. 7433–7435. Smith, Hall, Marcello (bib61) 2004; 26 Lee, Bin-Da, King-Chu, Sheau-Fang, Chin-Feng, Po, Tsung, Juen-Sean (bib149) 2009; 56 Xie, Pierce, Ulaby (bib97) 2012; 40 Prabhakar, Poonguzhali (bib119) 2014; 573 Gupta, Chauhan, Saxena (bib107) 2005; 43 Rose, Allwin (bib17) 2013; 5 Soloperto, Conversano, Greco, Casciaro, Franchini, Casciaro (bib159) 2012; 59 Zhou, Shi, Zhu, Cai, Wang (bib147) 2013; 8 Daubechies (bib87) 1992 Hamid (bib12) 2011 Brij, Arvind (bib89) 2006; 16 Van Driel, de Bock, Arts, Sie, Hollema, Oosterwijk, Mourits (bib46) 2015; 80 Tan, Gharib (bib42) 1997; 126 Silver, Parangi, Phitayakorn (bib64) 2011 Deepika, Savita, Sukhwinder (bib74) 2012; 3 Manjunath, Ma (bib161) 1996; 18 Taylor, Merritt, Piccoli, Schmidt, Rouse, Fornage, Rubin, Georgian-Smith, Winsberg, Goldberg, Mendelson (bib26) 2002; 28 Chen, Chou, Han, Hung, Tiu, Chiou, Chiou (bib29) 2003; 226 Acharya, Saba, Molinari, Guerriero, Suri (bib79) 2013 Rabbani, Vafadust, Abolmaesumi, Gazor (bib94) 2008; 55 Lerner, Timor-Tritsch, Federman, Abramovich (bib51) 1994; 170 Costantini, Belli, Lombardi, Franceschini, Mule, Bonomo (bib33) 2006; 25 Giger (bib22) 2002; 9 Vyborny, Giger, Nishikawa (bib73) 2000; 38 Rahbari., Zhang., Kebebew. (bib38) 2010; 6 Gopinath, Shanthi (bib134) 2013; 14 Tsai, Eri, Hsian-Min (bib160) 2013; 2013 Tsantis, Dimitropoulos, Ioannidou, Cavouras, Nikiforidis (bib113) 2007; 31 American Cancer Society, 2014b. Kerlikowske, Carney, Geller, Mandelson, Taplin, Malvin, Ernster, Urban, Cutter, Rosenberg, Barbash (bib21) 2000; 133 Yong, Croitoru, Bidani, Zwischenberger, Clark (bib98) 2006; 25 Chang, Wu, Moon, Chen (bib137) 2003; 29 Bartolotta, Midiri, Runza, Galia, Taibbi, Damiani, Palermo, Lagalla (bib39) 2006; 111 Satake, Shimamoto, Sawaki, Niimi, Ando, Ishiquchi, Yamakawa, Nagasaka, Funahashi (bib62) 2000; 10 Choi, Kim, Choi (bib44) 2008; 55 American Joint Committee on Cancer (AJCC), In: AJCC cancer staging manual, 7 Chen, Chang, Kuo, Chen, Huang (bib125) 2002; 28 Mohamed, Mohamed, Mustafa, Bushra (bib43) 2013; 2 Drukker, Giger, Horsch, Kupinski, Vyborny, Mendelson (bib30) 2002; 29 Granchi, Vannacci, Biagi, Masotti (bib148) 2015; 41 Pareek, Acharya, Vinitha Sree, Swapna, Yantri, Martis, Saba. (bib158) 2013; 12 Shung (bib57) 2015; 215 Huang, Chen, Liu (bib66) 2004; 5 Burckhardt (bib90) 1978; 25 Chang, Chen, Tsai (bib153) 2010; 43 Noble (bib99) 2010; 224 Ahuja, Metreweli (bib40) 2000; 16 Andr, Galperin, Olson, Richman, Payrovi, Phan (bib31) 2002; 26 National Cancer Institute (NCI) 2014. U.R. Acharya, S. Vinitha Sree, F. Molinari, R. Garberoglio, A. Witkowska, J.S. Suri, Automated benign & malignant thyroid lesion characterization and classification in 3D contrast-enhanced ultrasound, In: Proceedings of the 2012 Annual International Conference of the IEEE, Engineering in Medicine and Biology Society (EMBC), IEEE, 2012, pp. 452–455. Chang, Wu, Moon, Chen (bib24) 2003; 29 Sassone, Timor-Tritsch, Artner, Westhoff, Warren (bib49) 1991; 78 Twickler, Moschos (bib48) 2010; 194 Frates, Benson, Charboneau, Cibas, Clark, Coleman, Cronan, Doubilet, Evans, Goellner, Hay, Hertzberg, Intenzo, Jeffrey, Langer, Larsen, Mandel, Middleton, Reading, Sherman, Tessler (bib37) 2005; 237 Torbati, Ayatollahi, Kermani (bib122) 2014; 44 Katsigiannis, Keramidas, Maroulis (bib16) 2010; 18 Addison (bib86) 2005; 26 Prinz, Chen (bib10) 2009 Devi (bib117) 2014; 1 Giger, Karssemeijer (bib71) 2001; 20 Raj (bib114) 2012; 1 S. Livens, P. Scheunders, G. Van de Wouwer, D. Van Dyck, Wavelets for texture analysis, In: Proceedings of the Sixth International Conference on Image Processing and Its Applications, 2, 1997, pp. 581–585. Song, Venkatesh, Conant, Cary, Arger, Sehgal (bib140) 2005; 5750 Zhi, Ou, Luo, Feng, Wen, Yang (bib27) 2007; 26 Huang, Chen, Jiang, Kuo, Wu, Moon (bib58) 2008; 32 C.Y. Chang, H.C. Huang, S.J. Chen, Thyroid nodule segmentation and component analysis in ultrasound images, In: Proceedings of Asia Pacific Signal and Information Processing Association, Annual Summit and Conference, 2009, pp. 910–917. Imani, Mahdi, Saman, Eli, Amir, Mena, Madeleine (bib157) 2015; 62 Acharya (10.1016/j.compbiomed.2015.12.006_bib142) 2014; 13 Drukker (10.1016/j.compbiomed.2015.12.006_bib30) 2002; 29 Kimura (10.1016/j.compbiomed.2015.12.006_bib83) 1998; 275 Chang (10.1016/j.compbiomed.2015.12.006_bib150) 2008; 57 Yang (10.1016/j.compbiomed.2015.12.006_bib145) 2013; 32 Chang (10.1016/j.compbiomed.2015.12.006_bib24) 2003; 29 Fei (10.1016/j.compbiomed.2015.12.006_bib123) 2012 Taylor (10.1016/j.compbiomed.2015.12.006_bib26) 2002; 28 Noble (10.1016/j.compbiomed.2015.12.006_bib99) 2010; 224 Gupta (10.1016/j.compbiomed.2015.12.006_bib107) 2005; 43 Acharya (10.1016/j.compbiomed.2015.12.006_bib154) 2011; 10 Sawant (10.1016/j.compbiomed.2015.12.006_bib128) 2011; 1 Kishore (10.1016/j.compbiomed.2015.12.006_bib143) 2006; 33 Mussarat (10.1016/j.compbiomed.2015.12.006_bib32) 2013; 2 Tsai (10.1016/j.compbiomed.2015.12.006_bib160) 2013; 2013 Unnikrishnan (10.1016/j.compbiomed.2015.12.006_bib45) 2011; 15 Shankar (10.1016/j.compbiomed.2015.12.006_bib25) 2005; 50 Papini (10.1016/j.compbiomed.2015.12.006_bib36) 2002; 87 Giger (10.1016/j.compbiomed.2015.12.006_bib22) 2002; 9 Satake (10.1016/j.compbiomed.2015.12.006_bib62) 2000; 10 Zhou (10.1016/j.compbiomed.2015.12.006_bib147) 2013; 8 Gupta (10.1016/j.compbiomed.2015.12.006_bib91) 2012; 1 Huang (10.1016/j.compbiomed.2015.12.006_bib58) 2008; 32 Choi (10.1016/j.compbiomed.2015.12.006_bib44) 2008; 55 Rocha (10.1016/j.compbiomed.2015.12.006_bib59) 2011; 101 Prinz (10.1016/j.compbiomed.2015.12.006_bib10) 2009 10.1016/j.compbiomed.2015.12.006_bib152 Khare (10.1016/j.compbiomed.2015.12.006_bib105) 2005; 3 Acharya (10.1016/j.compbiomed.2015.12.006_bib77) 2014; 13 Lee (10.1016/j.compbiomed.2015.12.006_bib144) 2009; 3 Pareek (10.1016/j.compbiomed.2015.12.006_bib158) 2013; 12 Chang (10.1016/j.compbiomed.2015.12.006_bib135) 2003; 10 Chang (10.1016/j.compbiomed.2015.12.006_bib137) 2003; 29 Lee (10.1016/j.compbiomed.2015.12.006_bib149) 2009; 56 Lacey (10.1016/j.compbiomed.2015.12.006_bib5) 2009; 9 Lansford (10.1016/j.compbiomed.2015.12.006_bib9) 2006; 13 Halliwell (10.1016/j.compbiomed.2015.12.006_bib14) 2010; 224 Pizurica (10.1016/j.compbiomed.2015.12.006_bib93) 2006; 2 10.1016/j.compbiomed.2015.12.006_bib4 Frates (10.1016/j.compbiomed.2015.12.006_bib37) 2005; 237 10.1016/j.compbiomed.2015.12.006_bib2 Acharya (10.1016/j.compbiomed.2015.12.006_bib82) 2015; 14 10.1016/j.compbiomed.2015.12.006_bib1 Kharchenko (10.1016/j.compbiomed.2015.12.006_bib60) 2010 Sudha. (10.1016/j.compbiomed.2015.12.006_bib100) 2009; 1 Shung (10.1016/j.compbiomed.2015.12.006_bib57) 2015; 215 Katsigiannis (10.1016/j.compbiomed.2015.12.006_bib16) 2010; 18 Laine (10.1016/j.compbiomed.2015.12.006_bib130) 1995; 14 Cheng (10.1016/j.compbiomed.2015.12.006_bib19) 2006; 39 Van Driel (10.1016/j.compbiomed.2015.12.006_bib46) 2015; 80 10.1016/j.compbiomed.2015.12.006_bib81 Wang (10.1016/j.compbiomed.2015.12.006_bib56) 2002; 2929 Dhawan (10.1016/j.compbiomed.2015.12.006_bib65) 2011; 544 10.1016/j.compbiomed.2015.12.006_bib139 Jalalian (10.1016/j.compbiomed.2015.12.006_bib75) 2013; 37 Acharya (10.1016/j.compbiomed.2015.12.006_bib80) 2013 Rabbani (10.1016/j.compbiomed.2015.12.006_bib94) 2008; 55 Brij (10.1016/j.compbiomed.2015.12.006_bib89) 2006; 16 Andr (10.1016/j.compbiomed.2015.12.006_bib31) 2002; 26 Kaur (10.1016/j.compbiomed.2015.12.006_bib92) 2013; 2 Park (10.1016/j.compbiomed.2015.12.006_bib104) 2007 Twickler (10.1016/j.compbiomed.2015.12.006_bib48) 2010; 194 Chang (10.1016/j.compbiomed.2015.12.006_bib153) 2010; 43 Laine (10.1016/j.compbiomed.2015.12.006_bib131) 1994; 13 Maggio (10.1016/j.compbiomed.2015.12.006_bib54) 2010; 29 Aydin (10.1016/j.compbiomed.2015.12.006_bib84) 1999; 25 Gupta (10.1016/j.compbiomed.2015.12.006_bib109) 2007; 17 Yong (10.1016/j.compbiomed.2015.12.006_bib98) 2006; 25 Zhang (10.1016/j.compbiomed.2015.12.006_bib124) 2007; 37 Huang (10.1016/j.compbiomed.2015.12.006_bib66) 2004; 5 Joo (10.1016/j.compbiomed.2015.12.006_bib141) 2004; 23 Keramidas (10.1016/j.compbiomed.2015.12.006_bib8) 2007; 4633 Gupta (10.1016/j.compbiomed.2015.12.006_bib106) 2005; 152 Burckhardt (10.1016/j.compbiomed.2015.12.006_bib90) 1978; 25 Tay (10.1016/j.compbiomed.2015.12.006_bib95) 2010; 19 Kim (10.1016/j.compbiomed.2015.12.006_bib41) 2012; 33 Costantini (10.1016/j.compbiomed.2015.12.006_bib33) 2006; 25 Soloperto (10.1016/j.compbiomed.2015.12.006_bib159) 2012; 59 Tan (10.1016/j.compbiomed.2015.12.006_bib42) 1997; 126 Yan (10.1016/j.compbiomed.2015.12.006_bib146) 2012; 39 10.1016/j.compbiomed.2015.12.006_bib127 Mohamed (10.1016/j.compbiomed.2015.12.006_bib43) 2013; 2 Maggio (10.1016/j.compbiomed.2015.12.006_bib156) 2010; 29 10.1016/j.compbiomed.2015.12.006_bib78 Subashini (10.1016/j.compbiomed.2015.12.006_bib120) 2014; 9 Kerlikowske (10.1016/j.compbiomed.2015.12.006_bib21) 2000; 133 Bird (10.1016/j.compbiomed.2015.12.006_bib20) 1992; 184 Acharya (10.1016/j.compbiomed.2015.12.006_bib155) 2014; 35 Chang (10.1016/j.compbiomed.2015.12.006_bib101) 2005; 89 Manjunath (10.1016/j.compbiomed.2015.12.006_bib161) 1996; 18 Smith (10.1016/j.compbiomed.2015.12.006_bib61) 2004; 26 Prabhakar (10.1016/j.compbiomed.2015.12.006_bib119) 2014; 573 Bharati (10.1016/j.compbiomed.2015.12.006_bib103) 2004; 72 Tsantis (10.1016/j.compbiomed.2015.12.006_bib113) 2007; 31 Mallat (10.1016/j.compbiomed.2015.12.006_bib85) 1989; 11 Sassone (10.1016/j.compbiomed.2015.12.006_bib49) 1991; 78 Rahbari. (10.1016/j.compbiomed.2015.12.006_bib38) 2010; 6 Doi (10.1016/j.compbiomed.2015.12.006_bib70) 2007; 31 Acharya (10.1016/j.compbiomed.2015.12.006_bib116) 2013; 227 Sudha (10.1016/j.compbiomed.2015.12.006_bib96) 2009; 1 Sindhuja (10.1016/j.compbiomed.2015.12.006_bib118) 2014; 4 Aletti (10.1016/j.compbiomed.2015.12.006_bib47) 2007; 82 Gopinath (10.1016/j.compbiomed.2015.12.006_bib134) 2013; 14 Silver (10.1016/j.compbiomed.2015.12.006_bib64) 2011 Gramellini (10.1016/j.compbiomed.2015.12.006_bib52) 2008; 48 Ain (10.1016/j.compbiomed.2015.12.006_bib63) 2011 Torbati (10.1016/j.compbiomed.2015.12.006_bib122) 2014; 44 Tsantis (10.1016/j.compbiomed.2015.12.006_bib151) 2009; 33 Rose (10.1016/j.compbiomed.2015.12.006_bib17) 2013; 5 Zhi (10.1016/j.compbiomed.2015.12.006_bib27) 2007; 26 Boukerroui (10.1016/j.compbiomed.2015.12.006_bib111) 2003; 24 Pfisterer (10.1016/j.compbiomed.2015.12.006_bib129) 2001; 40 Giger (10.1016/j.compbiomed.2015.12.006_bib72) 2000; 2 Hamid (10.1016/j.compbiomed.2015.12.006_bib12) 2011 Giger (10.1016/j.compbiomed.2015.12.006_bib71) 2001; 20 10.1016/j.compbiomed.2015.12.006_bib110 Huang (10.1016/j.compbiomed.2015.12.006_bib136) 2005; 29 Raj (10.1016/j.compbiomed.2015.12.006_bib114) 2012; 1 Deepika (10.1016/j.compbiomed.2015.12.006_bib74) 2012; 3 10.1016/j.compbiomed.2015.12.006_bib11 Nikita (10.1016/j.compbiomed.2015.12.006_bib13) 2012; 50 Bartolotta (10.1016/j.compbiomed.2015.12.006_bib39) 2006; 111 Siegel (10.1016/j.compbiomed.2015.12.006_bib3) 2014; 64 Rejani (10.1016/j.compbiomed.2015.12.006_bib138) 2009; 1 Zha (10.1016/j.compbiomed.2015.12.006_bib108) 2006; 20 10.1016/j.compbiomed.2015.12.006_bib18 10.1016/j.compbiomed.2015.12.006_bib6 Timmerman (10.1016/j.compbiomed.2015.12.006_bib53) 2008; 31 10.1016/j.compbiomed.2015.12.006_bib7 Ahuja (10.1016/j.compbiomed.2015.12.006_bib40) 2000; 16 Granchi (10.1016/j.compbiomed.2015.12.006_bib148) 2015; 41 (10.1016/j.compbiomed.2015.12.006_bib15) 2010 Ratnakar (10.1016/j.compbiomed.2015.12.006_bib88) 2009; 2 Sudarshan (10.1016/j.compbiomed.2015.12.006_bib67) 2015; 8 Richardson (10.1016/j.compbiomed.2015.12.006_bib133) 1995; 14 Chen (10.1016/j.compbiomed.2015.12.006_bib29) 2003; 226 Tsantis (10.1016/j.compbiomed.2015.12.006_bib112) 2006; 84 Kim (10.1016/j.compbiomed.2015.12.006_bib35) 2002; 178 Erickson (10.1016/j.compbiomed.2015.12.006_bib69) 2002; 15 Li (10.1016/j.compbiomed.2015.12.006_bib132) 1997; 4 Kinkel (10.1016/j.compbiomed.2015.12.006_bib34) 2000; 217 Imani (10.1016/j.compbiomed.2015.12.006_bib157) 2015; 62 Acharya (10.1016/j.compbiomed.2015.12.006_bib68) 2012; 107 Chen (10.1016/j.compbiomed.2015.12.006_bib125) 2002; 28 Addison (10.1016/j.compbiomed.2015.12.006_bib86) 2005; 26 Jesneck (10.1016/j.compbiomed.2015.12.006_bib23) 2007; 244 DePriest (10.1016/j.compbiomed.2015.12.006_bib50) 1993; 51 Vyborny (10.1016/j.compbiomed.2015.12.006_bib73) 2000; 38 Acharya (10.1016/j.compbiomed.2015.12.006_bib79) 2013 Kim (10.1016/j.compbiomed.2015.12.006_bib126) 2011; 17 Devi (10.1016/j.compbiomed.2015.12.006_bib117) 2014; 1 Acharya (10.1016/j.compbiomed.2015.12.006_bib76) 2012; 52 Xie (10.1016/j.compbiomed.2015.12.006_bib97) 2012; 40 Zhu (10.1016/j.compbiomed.2015.12.006_bib55) 2006; 10 Tsantis (10.1016/j.compbiomed.2015.12.006_bib121) 2014; 41 Lerner (10.1016/j.compbiomed.2015.12.006_bib51) 1994; 170 Huang (10.1016/j.compbiomed.2015.12.006_bib102) 2007; 20 Alka (10.1016/j.compbiomed.2015.12.006_bib115) 2013; 3 Daubechies (10.1016/j.compbiomed.2015.12.006_bib87) 1992 Sahiner (10.1016/j.compbiomed.2015.12.006_bib28) 2007; 242 Song (10.1016/j.compbiomed.2015.12.006_bib140) 2005; 5750 |
| References_xml | – volume: 41 start-page: 1967 year: 2015 end-page: 1980 ident: bib148 article-title: Differentiation of breast lesions by use of HyperSPACE: hyper-spectral analysis for characterization in echography publication-title: Ultrasound Med. Biol. – volume: 4 start-page: 853 year: 2014 end-page: 857 ident: bib118 article-title: Wavelet based segmentation using optimal statistical features on breast images publication-title: ICTACT J. Image Video Process. – start-page: 831613 year: 2012 ident: bib123 article-title: A molecular image-directed, 3D ultrasound-guided biopsy system for the prostate publication-title: SPIE Med. Imaging Int. Soc. Opt. Photonics – volume: 82 start-page: 751 year: 2007 end-page: 770 ident: bib47 article-title: Current management strategies for ovarian cancer publication-title: Mayo Clin. Proc. – volume: 3 start-page: 67 year: 2012 end-page: 83 ident: bib74 article-title: Computer-aided diagnosis of thyroid nodule: a review publication-title: Int. J. Comput. Sci. Eng. Survey – reference: American Joint Committee on Cancer (AJCC), Ovary and primary peritoneal carcinoma, In: AJCC cancer staging manual, 7 – volume: 4 start-page: 724 year: 1997 end-page: 731 ident: bib132 article-title: Digital mammography: directional wavelet analysis for feature extraction and mass detection publication-title: Acad. Radiol. – volume: 78 start-page: 70 year: 1991 end-page: 76 ident: bib49 article-title: Transvaginal sonographic characterization of ovarian disease: evaluation of a new scoring system to predict ovarian malignancy publication-title: Obstet. Gynecol. – volume: 5750 start-page: 148 year: 2005 end-page: 152 ident: bib140 article-title: Artificial neural network to aid differentiation of malignant and benign breast masses by ultrasound imaging publication-title: Proc. Spie – start-page: 399 year: 2013 end-page: 412 ident: bib80 article-title: Ovarian tumor characterization using 3D ultrasound publication-title: Ovarian Neoplasm Imaging – volume: 275 start-page: H1993 year: 1998 end-page: H1999 ident: bib83 article-title: Time frequency analysis of fetal heartbeat fluctuation using wavelet transform publication-title: Am. J. Physiol. – reference: X. Liu, Z. Huo, J. Zhang, Automated segmentation of breast lesions in ultrasound images, In:Proceedings of IEEE Engineering Medicine and Biology 27th Annual Conference, 7, 2005, pp. 7433–7435. – volume: 18 start-page: 1 year: 2010 end-page: 18 ident: bib16 article-title: A contourlet transform feature extraction scheme for ultrasound thyroid texture classification publication-title: Eng. Int. Sys. – volume: 29 start-page: 679 year: 2003 end-page: 686 ident: bib24 article-title: Improvement in breast tumor discrimination by support vector machines and speckle-emphasis texture analysis publication-title: Ultrasound Med. Biol. – volume: 194 start-page: 322 year: 2010 end-page: 329 ident: bib48 article-title: Ultrasound and assessment of ovarian cancer risk publication-title: Am. J. Roentgenol. – volume: 5 start-page: 2598 year: 2004 end-page: 2960 ident: bib66 article-title: Breast cancer diagnosis using image retrieval for different ultrasonic systems publication-title: Int. Conf. Image Process. – volume: 10 start-page: 295 year: 2011 end-page: 390 ident: bib154 article-title: Cost effective and non-invasive automated benign & malignant thyroid lesion classification in 3D contrast-enhanced ultrasound using combination of wavelets and textures: a class of Thyroscan™ algorithms publication-title: Technol. Cancer Res. Treat. – volume: 5 start-page: 36 year: 2013 end-page: 47 ident: bib17 article-title: Computerised cancer detection and classification using ultrasound images: a survey publication-title: Int. J. Eng. Res. Dev. – year: 2010 ident: bib60 article-title: Ultrasound Diagnostics of Thyroid Diseases – volume: 41 start-page: 072903 year: 2014 ident: bib121 article-title: Multiresolution edge detection using enhanced fuzzy c-means clustering for ultrasound image speckle reduction publication-title: Med. Phys. – volume: 29 start-page: 455 year: 2010 end-page: 464 ident: bib54 article-title: Predictive deconvolution and hybrid feature selection for computer-aided detection of prostate cancer publication-title: Med. Imaging IEEE Trans. – volume: 55 start-page: 2152 year: 2008 end-page: 2160 ident: bib94 article-title: Speckle noise reduction of medical ultrasound images in complex wavelet domain using mixture priors publication-title: IEEE Trans. Biomed. Eng. – volume: 84 start-page: 86 year: 2006 end-page: 98 ident: bib112 article-title: A hybrid multi-scale model for thyroid nodule boundary detection on ultrasound images publication-title: Comput. Methods Programs Biomed. – reference: S. Livens, P. Scheunders, G. Van de Wouwer, D. Van Dyck, Wavelets for texture analysis, In: Proceedings of the Sixth International Conference on Image Processing and Its Applications, 2, 1997, pp. 581–585. – volume: 29 start-page: 679 year: 2003 end-page: 686 ident: bib137 article-title: Improvement in breast tumor discrimination by support vector machines and speckle-emphasis texture analysis publication-title: Ultrasound Med. Biol. – volume: 48 start-page: 195 year: 2008 end-page: 201 ident: bib52 article-title: Diagnostic accuracy of IOTA ultrasound morphology in the hands of less experienced sonographers publication-title: Aust. N. Z. J. Obstet. Gynaecol. – volume: 40 start-page: 209 year: 2001 end-page: 216 ident: bib129 article-title: Tumor detection in digitized mammograms by image texture analysis publication-title: Opt. Eng. – volume: 2013 year: 2013 ident: bib160 article-title: Improving image quality in medical images using a combined method of undecimated wavelet transform and wavelet coefficient mapping publication-title: Int. J. Biomed. Imaging – volume: 40 start-page: 2196 year: 2012 end-page: 2212 ident: bib97 article-title: SAR speckle reduction using wavelet denoising and markov random field modelling publication-title: IEEE Trans. Geosci. Remote Sens. – start-page: 1 year: 2010 end-page: 22 ident: bib15 publication-title: Introduction to B-mode imaging, Diagnostic ultrasound: physics and equipment – volume: 24 start-page: 779 year: 2003 end-page: 790 ident: bib111 article-title: Segmentation of ultrasound images- multiresolution 2D and 3D algorithm based on global and local statistics publication-title: Pattern Recognit. Lett. – year: 2011 ident: bib63 article-title: The Complete Thyroid Book – volume: 25 start-page: 1 year: 1978 end-page: 6 ident: bib90 article-title: Speckle in ultrasound B-mode scans publication-title: IEEE Trans. Sonics Ultrasonics – volume: 2929 start-page: 211 year: 2002 end-page: 223 ident: bib56 article-title: Studies on tissue characterisation by texture analysis with co-occurrence matrix method using ultrasonography and CT imaging publication-title: J. Med. Ultrason. – volume: 227 start-page: 284 year: 2013 end-page: 292 ident: bib116 article-title: Effect of complex wavelet transform filter on thyroid tumor classification in three-dimensional ultrasound publication-title: Proc. Inst. Mech. Eng. Part H J. Eng. Med. – year: 2011 ident: bib64 article-title: Biographies of Disease publication-title: Series – volume: 2 start-page: 39 year: 2000 end-page: 45 ident: bib72 article-title: Computer-aided diagnosis of breast lesions in medical images publication-title: Comput. Sci. Eng. – year: 1992 ident: bib87 article-title: Ten Lectures on wavelet – volume: 573 start-page: 471 year: 2014 end-page: 476 ident: bib119 article-title: Feature based active contour method for automatic detection of breast lesions using ultrasound images publication-title: Appl. Mech. Mater. – volume: 8 start-page: 688 year: 2013 end-page: 696 ident: bib147 article-title: Shearlet-based texture feature extraction for classification of breast tumor in ultrasound image publication-title: Biomed. Signal Process. Control – reference: American Joint Committee on Cancer (AJCC), In: AJCC cancer staging manual, 7 – volume: 26 start-page: 16 year: 2004 end-page: 27 ident: bib61 article-title: Emerging technologies in breast cancer detection publication-title: Radiol. Manag. – volume: 1 start-page: 1793 year: 2009 end-page: 8201 ident: bib96 article-title: Speckle noise reduction in ultrasound images by wavelet thresholding based on weighted variance publication-title: Int. J. Comput. Theory Eng. – volume: 64 start-page: 9 year: 2014 end-page: 29 ident: bib3 article-title: Cancer Statistics publication-title: CA Cancer J. Clin. – volume: 50 start-page: 43 year: 2012 end-page: 49 ident: bib13 article-title: A segmentation method and comparison of classification methods for thyroid ultrasound images publication-title: Int. J. Comput. Appl. – volume: 12 start-page: 545 year: 2013 end-page: 557 ident: bib158 article-title: Prostate tissue characterization/classification in 144 patient population using wavelet and higher order spectra features from transrectal ultrasound images publication-title: Technol. Cancer Res. Treat. – volume: 2 start-page: 571 year: 2013 end-page: 575 ident: bib43 article-title: Thyroid nodules evaluation with sonography publication-title: Int. J. Sci. Res. – volume: 3 start-page: 96 year: 2013 end-page: 102 ident: bib115 article-title: An improved threshold estimation technique for ultrasound image denoising publication-title: Int. J. Adv. Res. Comput. Sci. Softw. Eng. – volume: 244 start-page: 390 year: 2007 end-page: 398 ident: bib23 article-title: Breast mass lesions: computer-aided diagnosis models with mammographic and sonographic descriptors publication-title: Radiology – volume: 10 start-page: 178 year: 2006 end-page: 199 ident: bib55 article-title: Computer technology in detection and staging of prostate carcinoma: a review publication-title: Med. Image Anal. – volume: 31 start-page: 198 year: 2007 end-page: 211 ident: bib70 article-title: Computer-aided diagnosis in medical imaging: historical review, current status and future potential publication-title: Comput. Med. Imaging Graph – volume: 184 start-page: 613 year: 1992 end-page: 617 ident: bib20 article-title: Analysis of cancers missed at screening mammography publication-title: Radiology – volume: 31 start-page: 117 year: 2007 end-page: 127 ident: bib113 article-title: Inter-scale wavelet analysis for speckle reduction in thyroid ultrasound images publication-title: Comput. Med. Imaging Graph. – volume: 35 start-page: 237 year: 2014 end-page: 245 ident: bib155 article-title: Evolutionary algorithm-based classifier parameter tuning for automatic ovarian cancer tissue characterisation and classification publication-title: Ultraschall Med. – volume: 16 start-page: 111 year: 2000 end-page: 122 ident: bib40 article-title: Ultrasound of thyroid nodules publication-title: Ultrasound Q – volume: 126 start-page: 226 year: 1997 end-page: 231 ident: bib42 article-title: Thyroid incidentalomas: management approaches to nonpalpable nodules discovered incidentally on thyroid imaging publication-title: Ann. Intern. Med. – volume: 28 start-page: 19 year: 2002 end-page: 26 ident: bib26 article-title: Ultrasound as a complement to mammography and breast examination to characterize breast masses publication-title: Ultrasound Med. Biol. – volume: 15 start-page: 78 year: 2011 end-page: 81 ident: bib45 article-title: Thyroid disorders in India: an epidemiological perspective publication-title: Indian J. Endocrinol. Metab. – volume: 32 start-page: 2262 year: 2013 end-page: 2273 ident: bib145 article-title: Robust texture analysis using multi-resolution gray-scale invariant features for breast sonographic tumor diagnosis publication-title: IEEE Trans. Med. Imaging – volume: 62 start-page: 1796 year: 2015 end-page: 1804 ident: bib157 article-title: Ultrasound-based characterization of prostate cancer using joint independent component analysis publication-title: IEEE Biomed. Eng. – reference: National Cancer Institute (NCI) 2014. 〈 – reference: U.R. Acharya, S. Vinitha Sree, F. Molinari, R. Garberoglio, A. Witkowska, J.S. Suri, Automated benign & malignant thyroid lesion characterization and classification in 3D contrast-enhanced ultrasound, In: Proceedings of the 2012 Annual International Conference of the IEEE, Engineering in Medicine and Biology Society (EMBC), IEEE, 2012, pp. 452–455. – volume: 2 start-page: 88 year: 2013 end-page: 98 ident: bib32 article-title: Survey paper on diagnosis of breast cancer using image processing techniques publication-title: Res. J. Recent Sci. – volume: 16 start-page: 275 year: 2006 end-page: 287 ident: bib89 article-title: Optimal selection of wavelet basis function applied to ECG signal denoising publication-title: Digit. Signal Process. – volume: 4633 start-page: 1052 year: 2007 end-page: 1060 ident: bib8 article-title: Efficient and effective ultrasound image analysis scheme for thyroid nodule detection publication-title: Image Anal. Recognit. Lect. Notes Comput. Sci. – volume: 1 start-page: 1 year: 2014 end-page: 7 ident: bib117 article-title: Development of image analysis system for the evaluation of thyroid nodule malignancy risk in ultrasound thyroid images publication-title: Int. J. Innov. Sci. Eng. Res. – reference: C.Y. Chang, H.C. Huang, S.J. Chen, Thyroid nodule segmentation and component analysis in ultrasound images, In: Proceedings of Asia Pacific Signal and Information Processing Association, Annual Summit and Conference, 2009, pp. 910–917. – volume: 23 start-page: 1292 year: 2004 end-page: 1300 ident: bib141 article-title: Computer-aided diagnosis of solid breast nodules: use of an artificial neural network based on multiple sonographic features publication-title: IEEE Trans. Med. Imaging – volume: 20 start-page: 238 year: 2007 end-page: 247 ident: bib102 article-title: Level set contouring for breast tumor in sonography publication-title: J. Digit. Imaging – volume: 26 start-page: 453 year: 2002 end-page: 460 ident: bib31 article-title: Improving the accuracy of diagnostic breast ultrasound publication-title: Acoust. Imaging – volume: 1 start-page: 7 year: 2009 end-page: 12 ident: bib100 article-title: Speckle noise reduction in ultrasound images by wavelet thresholding based on weighted variance publication-title: Int. J. Comput. Theory Eng. – start-page: 413 year: 2013 end-page: 423 ident: bib79 article-title: Ovarian tumor characterization and classification using ultrasound: a new online paradigm publication-title: Ovarian Neoplasm Imaging – volume: 170 start-page: 81 year: 1994 end-page: 85 ident: bib51 article-title: Transvaginal ultrasonographic characterization of ovarian masses with an improved, weighted scoring system publication-title: Am. J. Obstet. Gynecol. – volume: 3 start-page: 477 year: 2005 end-page: 496 ident: bib105 article-title: Soft – thresholding for denoising of medical images –a ultra resolution approaches publication-title: Int. J. Wavelets multiresolut. Inf. Process. – volume: 14 start-page: 551 year: 1995 end-page: 560 ident: bib133 article-title: Applying wavelets to mammograms publication-title: Eng. Med. Biol. Mag. IEEE – year: 2011 ident: bib12 article-title: Image texture analysis of transvaginal ultrasound in monitoring ovarian cancer (Ph.D. Thesis) – volume: 13 start-page: 89 year: 2006 end-page: 98 ident: bib9 article-title: Evaluation of the thyroid nodule publication-title: Cancer Control – volume: 242 start-page: 716 year: 2007 end-page: 724 ident: bib28 article-title: Malignant and benign breast masses on 3D US volumetric images: effect of computer-aided diagnosis on radiologist accuracy publication-title: Radiology – year: 2009 ident: bib10 article-title: Thyroid cancer publication-title: Conn’s Current Therapy, 2010 – volume: 38 start-page: 725 year: 2000 end-page: 740 ident: bib73 article-title: Computer-aided detection and diagnosis of breast cancer publication-title: Radiol. Clin. North Am. – volume: 224 start-page: 307 year: 2010 end-page: 316 ident: bib99 article-title: Ultrasound image segmentation and tissue characterization publication-title: J. Eng. Med. – reference: World Health Organisation (WHO) 2014. 〈 – volume: 1 start-page: 127 year: 2009 end-page: 130 ident: bib138 article-title: Early detection of breast cancer using SVM classifier technique publication-title: Int. J. Comput. Sci. Eng. – volume: 544 year: 2011 ident: bib65 article-title: Medical Image Analysis publication-title: IEEE Press Series in Biomedical Engineering – volume: 3 start-page: 81 year: 2009 end-page: 93 ident: bib144 article-title: Breast tumor classification of ultrasound images using wavelet-based channel energy and ImageJ publication-title: IEEE J. Sel. Top. Signal Process. – volume: 6 start-page: 1771 year: 2010 end-page: 1779 ident: bib38 article-title: Thyroid cancer gender disparity publication-title: Future Oncol. – volume: 43 start-page: 3494 year: 2010 end-page: 3506 ident: bib153 article-title: Application of support-vector machine based method for feature selection and classification of thyroid nodules in ultrasound images publication-title: Pattern Recognit. – volume: 25 start-page: 953 year: 1999 end-page: 958 ident: bib84 article-title: The use of the wavelet transform to describe embolic signals publication-title: Ultrasound Med. Biol. – volume: 215 year: 2015 ident: bib57 article-title: Diagnostic Ultrasound: Imaging and Blood Flow Measurements – reference: US breast cancer statistics, 2015. 〈 – volume: 18 start-page: 837 year: 1996 end-page: 842 ident: bib161 article-title: Texture features for browsing and retrieval of image data publication-title: Pattern Anal. Mach. Intell. IEEE Trans. – volume: 29 start-page: 1438 year: 2002 end-page: 1446 ident: bib30 article-title: Computerized lesion detection on breast ultrasound publication-title: Med. Phys. – volume: 1 start-page: 81 year: 2012 end-page: 86 ident: bib114 article-title: US breast cancer image enhancement and wavelet based denoising publication-title: Bull. Environ. Pharmacol. Life Sci. – volume: 224 start-page: 127 year: 2010 end-page: 142 ident: bib14 article-title: A tutorial of ultrasound physics and imaging techniques publication-title: J. Eng. Med. – volume: 25 start-page: 649 year: 2006 end-page: 659 ident: bib33 article-title: Characterization of solid breast masses use of the sonographic breast imaging reporting and data system lexicon publication-title: J. Ultrasound Med. – volume: 19 start-page: 1847 year: 2010 end-page: 1860 ident: bib95 article-title: Ultrasound despeckling for contrast enhancement publication-title: IEEE Trans.Image Process. – volume: 50 start-page: 2241 year: 2005 end-page: 2248 ident: bib25 article-title: Application of the compound probability density function for characterization of breast masses in ultrasound B scans publication-title: Phys. Med. Biol. – volume: 178 start-page: 687 year: 2002 end-page: 691 ident: bib35 article-title: New sonographic criteria for recommending fine-needle aspiration biopsy of nonpalpable solid nodules of the thyroid publication-title: Am. J. Roentgenol. – volume: 33 start-page: 91 year: 2009 end-page: 99 ident: bib151 article-title: Morphological and wavelet features towards sonographic thyroid nodules evaluation publication-title: Comput. Med. Imaging Graph – volume: 25 start-page: 297 year: 2006 end-page: 311 ident: bib98 article-title: Nonlinear multiscale wavelet diffusion for speckle suppression and edge enhancement in ultrasound images publication-title: IEEE Trans. Med. Imaging – volume: 56 start-page: 880 year: 2009 end-page: 884 ident: bib149 article-title: Breast tumor classification of ultrasound images using a reversible round-off nonrecursive 1-D discrete periodic wavelet transform publication-title: Biomed. Eng. IEEE Trans. – volume: 14 start-page: 536 year: 1995 end-page: 550 ident: bib130 article-title: Wavelets for contrast enhancement of digital mammography publication-title: IEEE Eng. Med. Biol. – volume: 8 start-page: 86 year: 2015 end-page: 97 ident: bib67 article-title: Automated identification of infarcted myocardium tissue characterization using ultrasound images: a review publication-title: IEEE Rev. Biomed. Eng. – volume: 101 start-page: 94 year: 2011 end-page: 106 ident: bib59 article-title: Segmentation of ultrasound images of the carotid using RANSAC and cubic splines publication-title: Comput. Methods Programs Biomed. – volume: 39 start-page: 1571 year: 2012 end-page: 1578 ident: bib146 article-title: Clinical study of a noninvasive multimodal sono-contrast induced spectroscopy system for breast cancer diagnosis publication-title: Med. Phys. – reference: 〉. – volume: 39 start-page: 646 year: 2006 end-page: 668 ident: bib19 article-title: Approaches for automated detection and classification of masses in mammograms publication-title: Pattern Recognit. – volume: 20 start-page: 1205 year: 2001 end-page: 1208 ident: bib71 article-title: Computer-aided diagnosis in medical imaging publication-title: IEEE Trans. Med. Imaging – volume: 9 start-page: 48 year: 2014 end-page: 51 ident: bib120 article-title: Masses detection and classification in ultrasound images publication-title: IOSR-J. Pharm. Biol. Sci. – volume: 2 start-page: 96 year: 2009 end-page: 98 ident: bib88 article-title: Signal filtering using discrete wavelet transform publication-title: Int. J. Recent Trends Eng. – volume: 29 start-page: 179 year: 2005 end-page: 184 ident: bib136 article-title: Support vector machines in sonography: application to decision making in the diagnosis of breast cancer publication-title: Clin. Imaging – volume: 111 start-page: 989 year: 2006 end-page: 998 ident: bib39 article-title: Incidentally discovered thyroid nodules: incidence and grayscale and color Doppler pattern in an adult population screened by real-time compound spatial sonography publication-title: Radiol. Med. – reference: ed., New York, NY: Springer, 2010, pp. 87–92. – volume: 13 start-page: 529 year: 2014 ident: bib142 article-title: Gynescan: An improved online paradigm for screening of ovarian cancer via tissue characterisation publication-title: Technol. Cancer Res. – volume: 52 start-page: 508 year: 2012 end-page: 520 ident: bib76 article-title: Non-invasive automated 3D thyroid lesion classification in ultrasound: a class of ThyroScan™ systems publication-title: Ultrasonics – volume: 217 start-page: 803 year: 2000 end-page: 811 ident: bib34 article-title: US characterization of ovarian masses: a meta-analysis publication-title: Radiology – volume: 33 start-page: 840 year: 2006 end-page: 849 ident: bib143 article-title: Detection of breast lesion regions in ultrasound images using wavelets and order statistics publication-title: Med. Phys. – volume: 33 start-page: 1144 year: 2012 end-page: 1149 ident: bib41 article-title: Ultrasound-based diagnostic classification for solid and partially cystic thyroid nodules publication-title: Am. J. Neuroradiol. – volume: 51 start-page: 7 year: 1993 end-page: 11 ident: bib50 article-title: A morphology index based on sonographic findings in ovarian cancer publication-title: Gynecol. Oncol. – reference: C. Renz, J.C. Rajapakse, K. Razvi, S.K.C. Liang. Ovarian cancer classification with missing data, In: Proceedings of 9th international conference on neural information processing 2, 2002, pp. 809–813. – volume: 17 start-page: 143 year: 2011 end-page: 149 ident: bib126 article-title: The recent progress in quantitative medical image analysis for computer aided diagnosis systems publication-title: Healthc. Inform. Res. – volume: 44 start-page: 76 year: 2014 end-page: 87 ident: bib122 article-title: An efficient neural network based method for medical image segmentation publication-title: Comput. Biol. Med. – volume: 26 start-page: R155 year: 2005 end-page: R199 ident: bib86 article-title: Wavelettransforms and the ECG: a review publication-title: Physiol. Meas. – volume: 152 start-page: 129 year: 2005 end-page: 135 ident: bib106 article-title: Locally adaptive wavelet domain Bayesian processor for denoisingmediacal ultrasound images using speckle modeling based on Rayleigh distribution publication-title: IEEE Proc. Vis. Image Signal Process. – volume: 32 start-page: 565 year: 2008 end-page: 572 ident: bib58 article-title: Computer-aided diagnosis using morphological features for classifying breast lesions on ultrasound publication-title: Ultrasound Obstet. Gynecol. – volume: 9 start-page: 84 year: 2009 ident: bib5 article-title: Breast cancer epidemiology according to recognized breast cancer risk factors in the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial Cohort publication-title: BMC Cancer – volume: 2 start-page: 247 year: 2006 end-page: 260 ident: bib93 article-title: A review of wavelet denoising in MRI and ultrasound brain imaging publication-title: Curr. Med. Imaging Rev. – volume: 89 start-page: 179 year: 2005 end-page: 185 ident: bib101 article-title: Automatic ultrasound segmentation and morphology based diagnosis of solid breast tumors publication-title: Breast Cancer Res. Treat. – reference: American Cancer Society, 2014a. 〈 – volume: 237 start-page: 794 year: 2005 end-page: 800 ident: bib37 article-title: Management of thyroid nodules detected at US: society of radiologists in ultrasound consensus conference statement publication-title: Radiology – volume: 31 start-page: 681 year: 2008 end-page: 690 ident: bib53 article-title: Simple ultrasound-based rules for the diagnosis of ovarian cancer publication-title: Ultrasound Obstet. Gynecol. – volume: 26 start-page: 807 year: 2007 end-page: 815 ident: bib27 article-title: Comparison of ultrasound elastography, mammography, and sonography in the diagnosis of solid breast lesions publication-title: J. Ultrasound Med. – volume: 2 start-page: 384 year: 2013 end-page: 396 ident: bib92 article-title: Image denoising for speckle noise reduction in ultrasound images using DWT technique publication-title: Int. J. Appl. Innov. Eng. Manag. – volume: 133 start-page: 855 year: 2000 end-page: 863 ident: bib21 article-title: Performance of screening mammography among women with and without a first degree relative with breast cancer publication-title: Ann. Intern. Med. – volume: 20 start-page: 251 year: 2006 end-page: 263 ident: bib108 article-title: A new algorithm for shot noise removal in medical ultrasound images based on alpha-stable model publication-title: Int. J. Adapt. Control Signal Process. – volume: 17 start-page: 542 year: 2007 end-page: 560 ident: bib109 article-title: A versatile technique for visual enhancement of medical ultrasound images publication-title: Digit. Signal Process. – start-page: 725 year: 1994 end-page: 752 ident: bib131 article-title: Mammographic feature enhancement by multiscale analysis publication-title: IEEE Trans. Med. Imaging – volume: 59 start-page: 2692 year: 2012 end-page: 2701 ident: bib159 article-title: Advanced spectral analyses for real-time automatic echographic tissue-typing of simulated tumor masses at different compression stages publication-title: Ultrason. Ferroelectr. Freq. Control IEEE Trans. – reference: American Cancer Society, 2014b. 〈 – volume: 14 start-page: 97 year: 2013 end-page: 102 ident: bib134 article-title: Support vector machine based diagnostic system for thyroid cancer using statistical texture features publication-title: Asian Pac. J. Cancer Prev. – volume: 10 start-page: 1726 year: 2000 end-page: 1732 ident: bib62 article-title: Role of ultrasonography in the detection of intraductal spread of breast cancer: correlation with pathologic findings, mammography and MR imaging publication-title: Eur. Radiol. – volume: 55 start-page: 931 year: 2008 end-page: 938 ident: bib44 article-title: Diagnostic accuracy of ultrasound features in thyroid microcarcinomas publication-title: Endocr. J. – start-page: 5650 year: 2007 end-page: 5653 ident: bib104 article-title: Segmentation of solid nodules in ultrasonographic breast image based on wavelet transform publication-title: Conf. Proc. IEEE Eng. Med. Biol. Soc. – volume: 37 start-page: 1591 year: 2007 end-page: 1599 ident: bib124 article-title: Boundary delineation in transrectal ultrasound image for prostate cancer publication-title: Comput. Biol. Med. – volume: 14 start-page: 251 year: 2015 end-page: 261 ident: bib82 article-title: Ovarian Tissue Characterization in ultrasound a review publication-title: Technol. Cancer Res. Treat. – volume: 10 start-page: 189 year: 2003 end-page: 197 ident: bib135 article-title: Support vector machines for diagnosis of breast tumors on US images publication-title: Acad. Radiol. – volume: 28 start-page: 1301 year: 2002 end-page: 1310 ident: bib125 article-title: Diagnosis of breast tumors with sonographic texture analysis using wavelet transform and neural networks publication-title: Ultrasound Med. Biol. – volume: 9 start-page: 1 year: 2002 ident: bib22 article-title: Computer-aided diagnosis in radiology publication-title: Acad. Radiol. – volume: 43 start-page: 189 year: 2005 end-page: 195 ident: bib107 article-title: Robust non homomorphic approach for speckle reduction in medical ultra sound images publication-title: Med. Biol. Eng. Comput. – volume: 107 start-page: 233 year: 2012 end-page: 241 ident: bib68 article-title: ThyroScreen system: high resolution ultrasound thyroid image characterisation into benign and malignant classes using novel combination of texture and discrete wavelet transform publication-title: Comput. Methods Programs Biomed. – volume: 29 start-page: 455 year: 2010 end-page: 464 ident: bib156 article-title: Predictive deconvolution and hybrid feature selection for computer-aided detection of prostate cancer publication-title: Med. Imaging IEEE Trans. – volume: 226 start-page: 504 year: 2003 end-page: 514 ident: bib29 article-title: Breast lesions on sonograms: computer-aided diagnosis with nearly setting- independent features and artificial neural networks publication-title: Radiology – volume: 11 start-page: 674 year: 1989 end-page: 693 ident: bib85 article-title: A theory for multiresolution signal decomposition: the wavelet representation publication-title: IEEE Trans. Pattern Anal. Mach. Intell. – volume: 37 start-page: 420 year: 2013 end-page: 426 ident: bib75 article-title: Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: a review publication-title: Clin. Imaging – volume: 15 start-page: 59 year: 2002 end-page: 68 ident: bib69 article-title: Computer-aided detection and diagnosis at the start of the third millennium publication-title: J. Digit. Imaging – volume: 87 start-page: 1941 year: 2002 end-page: 1946 ident: bib36 article-title: Risk of malignancy in nonpalpable thyroid nodules: predictive value of ultrasound and color-Doppler features publication-title: J. Clin. Endocrinol. Metab – volume: 72 start-page: 57 year: 2004 end-page: 71 ident: bib103 article-title: Image texture analysis: methods and comparisons publication-title: Chemom. Intell. Lab. Syst. – volume: 80 start-page: 318 year: 2015 end-page: 322 ident: bib46 article-title: Stopping ovarian cancer screening in BRCA1/2 mutation carriers: effects on risk management decisions & outcome of risk-reducing salpingo-oophorectomy specimens publication-title: Maturitas – reference: U.R. Acharya, S. Vinitha Sree, L. Saba, F. Molinari, S. Guerriero, J.S. Suri, Ovarian tumor characterization and classification: a class of GyneScan™ systems, In: Proceedings of the 2012 Annual International Conference of the IEEE, Engineering in Medicine and Biology Society (EMBC), IEEE, 2012, pp. 4446–4449. – volume: 13 start-page: 289 year: 2014 end-page: 301 ident: bib77 article-title: A review on ultrasound-based thyroid cancer tissue characterization and automated classification publication-title: Technol. Cancer Res. Treat. – volume: 1 start-page: 1 year: 2012 end-page: 6 ident: bib91 article-title: Enhancement of medical ultrasound images using non-linear filtering based on rational-dilation wavelet transform publication-title: Proc. World Congr. Eng. Comput. Sci. – reference: ed., New York: Springer, 2010, pp. 419–428. – volume: 1 start-page: 46 year: 2011 end-page: 51 ident: bib128 article-title: Breast tumor analysis using texture features and wavelet transform with dynamic neural network based training publication-title: J. Inf. Knowl. Res. Comput. Eng. – volume: 57 start-page: 3442 year: 2008 end-page: 3447 ident: bib150 article-title: Thyroid segmentation and volume estimation in ultrasound images publication-title: IEEE Int. Conf. Syst. Man Cybern. – year: 2011 ident: 10.1016/j.compbiomed.2015.12.006_bib64 article-title: Biographies of Disease – volume: 11 start-page: 674 year: 1989 ident: 10.1016/j.compbiomed.2015.12.006_bib85 article-title: A theory for multiresolution signal decomposition: the wavelet representation publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/34.192463 – volume: 9 start-page: 84 issue: 1 year: 2009 ident: 10.1016/j.compbiomed.2015.12.006_bib5 article-title: Breast cancer epidemiology according to recognized breast cancer risk factors in the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial Cohort publication-title: BMC Cancer doi: 10.1186/1471-2407-9-84 – start-page: 831613 year: 2012 ident: 10.1016/j.compbiomed.2015.12.006_bib123 article-title: A molecular image-directed, 3D ultrasound-guided biopsy system for the prostate publication-title: SPIE Med. Imaging Int. Soc. Opt. Photonics – volume: 28 start-page: 19 year: 2002 ident: 10.1016/j.compbiomed.2015.12.006_bib26 article-title: Ultrasound as a complement to mammography and breast examination to characterize breast masses publication-title: Ultrasound Med. Biol. doi: 10.1016/S0301-5629(01)00491-4 – volume: 59 start-page: 2692 year: 2012 ident: 10.1016/j.compbiomed.2015.12.006_bib159 article-title: Advanced spectral analyses for real-time automatic echographic tissue-typing of simulated tumor masses at different compression stages publication-title: Ultrason. Ferroelectr. Freq. Control IEEE Trans. doi: 10.1109/TUFFC.2012.2510 – volume: 43 start-page: 3494 year: 2010 ident: 10.1016/j.compbiomed.2015.12.006_bib153 article-title: Application of support-vector machine based method for feature selection and classification of thyroid nodules in ultrasound images publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2010.04.023 – volume: 194 start-page: 322 year: 2010 ident: 10.1016/j.compbiomed.2015.12.006_bib48 article-title: Ultrasound and assessment of ovarian cancer risk publication-title: Am. J. Roentgenol. doi: 10.2214/AJR.09.3562 – volume: 12 start-page: 545 issue: 6 year: 2013 ident: 10.1016/j.compbiomed.2015.12.006_bib158 article-title: Prostate tissue characterization/classification in 144 patient population using wavelet and higher order spectra features from transrectal ultrasound images publication-title: Technol. Cancer Res. Treat. doi: 10.7785/tcrt.2012.500346 – volume: 52 start-page: 508 issue: 4 year: 2012 ident: 10.1016/j.compbiomed.2015.12.006_bib76 article-title: Non-invasive automated 3D thyroid lesion classification in ultrasound: a class of ThyroScan™ systems publication-title: Ultrasonics doi: 10.1016/j.ultras.2011.11.003 – volume: 32 start-page: 2262 year: 2013 ident: 10.1016/j.compbiomed.2015.12.006_bib145 article-title: Robust texture analysis using multi-resolution gray-scale invariant features for breast sonographic tumor diagnosis publication-title: IEEE Trans. Med. Imaging doi: 10.1109/TMI.2013.2279938 – volume: 275 start-page: H1993 year: 1998 ident: 10.1016/j.compbiomed.2015.12.006_bib83 article-title: Time frequency analysis of fetal heartbeat fluctuation using wavelet transform publication-title: Am. J. Physiol. – volume: 31 start-page: 198 year: 2007 ident: 10.1016/j.compbiomed.2015.12.006_bib70 article-title: Computer-aided diagnosis in medical imaging: historical review, current status and future potential publication-title: Comput. Med. Imaging Graph doi: 10.1016/j.compmedimag.2007.02.002 – volume: 2 start-page: 39 year: 2000 ident: 10.1016/j.compbiomed.2015.12.006_bib72 article-title: Computer-aided diagnosis of breast lesions in medical images publication-title: Comput. Sci. Eng. doi: 10.1109/5992.877391 – volume: 3 start-page: 81 year: 2009 ident: 10.1016/j.compbiomed.2015.12.006_bib144 article-title: Breast tumor classification of ultrasound images using wavelet-based channel energy and ImageJ publication-title: IEEE J. Sel. Top. Signal Process. doi: 10.1109/JSTSP.2008.2011160 – volume: 544 year: 2011 ident: 10.1016/j.compbiomed.2015.12.006_bib65 article-title: Medical Image Analysis – volume: 1 start-page: 1793 year: 2009 ident: 10.1016/j.compbiomed.2015.12.006_bib96 article-title: Speckle noise reduction in ultrasound images by wavelet thresholding based on weighted variance publication-title: Int. J. Comput. Theory Eng. – volume: 18 start-page: 837 issue: 8 year: 1996 ident: 10.1016/j.compbiomed.2015.12.006_bib161 article-title: Texture features for browsing and retrieval of image data publication-title: Pattern Anal. Mach. Intell. IEEE Trans. doi: 10.1109/34.531803 – volume: 80 start-page: 318 year: 2015 ident: 10.1016/j.compbiomed.2015.12.006_bib46 article-title: Stopping ovarian cancer screening in BRCA1/2 mutation carriers: effects on risk management decisions & outcome of risk-reducing salpingo-oophorectomy specimens publication-title: Maturitas doi: 10.1016/j.maturitas.2014.12.009 – volume: 28 start-page: 1301 year: 2002 ident: 10.1016/j.compbiomed.2015.12.006_bib125 article-title: Diagnosis of breast tumors with sonographic texture analysis using wavelet transform and neural networks publication-title: Ultrasound Med. Biol. doi: 10.1016/S0301-5629(02)00620-8 – volume: 62 start-page: 1796 issue: 7 year: 2015 ident: 10.1016/j.compbiomed.2015.12.006_bib157 article-title: Ultrasound-based characterization of prostate cancer using joint independent component analysis publication-title: IEEE Biomed. Eng. doi: 10.1109/TBME.2015.2404300 – volume: 29 start-page: 179 year: 2005 ident: 10.1016/j.compbiomed.2015.12.006_bib136 article-title: Support vector machines in sonography: application to decision making in the diagnosis of breast cancer publication-title: Clin. Imaging doi: 10.1016/j.clinimag.2004.08.002 – start-page: 1 year: 2010 ident: 10.1016/j.compbiomed.2015.12.006_bib15 – volume: 55 start-page: 931 year: 2008 ident: 10.1016/j.compbiomed.2015.12.006_bib44 article-title: Diagnostic accuracy of ultrasound features in thyroid microcarcinomas publication-title: Endocr. J. doi: 10.1507/endocrj.K08E-084 – volume: 14 start-page: 551 issue: 5 year: 1995 ident: 10.1016/j.compbiomed.2015.12.006_bib133 article-title: Applying wavelets to mammograms publication-title: Eng. Med. Biol. Mag. IEEE doi: 10.1109/51.464771 – volume: 3 start-page: 67 year: 2012 ident: 10.1016/j.compbiomed.2015.12.006_bib74 article-title: Computer-aided diagnosis of thyroid nodule: a review publication-title: Int. J. Comput. Sci. Eng. Survey doi: 10.5121/ijcses.2012.3406 – volume: 152 start-page: 129 year: 2005 ident: 10.1016/j.compbiomed.2015.12.006_bib106 article-title: Locally adaptive wavelet domain Bayesian processor for denoisingmediacal ultrasound images using speckle modeling based on Rayleigh distribution publication-title: IEEE Proc. Vis. Image Signal Process. doi: 10.1049/ip-vis:20050975 – volume: 226 start-page: 504 year: 2003 ident: 10.1016/j.compbiomed.2015.12.006_bib29 article-title: Breast lesions on sonograms: computer-aided diagnosis with nearly setting- independent features and artificial neural networks publication-title: Radiology doi: 10.1148/radiol.2262011843 – volume: 29 start-page: 679 year: 2003 ident: 10.1016/j.compbiomed.2015.12.006_bib137 article-title: Improvement in breast tumor discrimination by support vector machines and speckle-emphasis texture analysis publication-title: Ultrasound Med. Biol. doi: 10.1016/S0301-5629(02)00788-3 – volume: 224 start-page: 127 year: 2010 ident: 10.1016/j.compbiomed.2015.12.006_bib14 article-title: A tutorial of ultrasound physics and imaging techniques publication-title: J. Eng. Med. doi: 10.1243/09544119JEIM656 – volume: 82 start-page: 751 year: 2007 ident: 10.1016/j.compbiomed.2015.12.006_bib47 article-title: Current management strategies for ovarian cancer publication-title: Mayo Clin. Proc. doi: 10.1016/S0025-6196(11)61196-8 – volume: 3 start-page: 96 year: 2013 ident: 10.1016/j.compbiomed.2015.12.006_bib115 article-title: An improved threshold estimation technique for ultrasound image denoising publication-title: Int. J. Adv. Res. Comput. Sci. Softw. Eng. – volume: 37 start-page: 420 year: 2013 ident: 10.1016/j.compbiomed.2015.12.006_bib75 article-title: Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: a review publication-title: Clin. Imaging doi: 10.1016/j.clinimag.2012.09.024 – volume: 3 start-page: 477 year: 2005 ident: 10.1016/j.compbiomed.2015.12.006_bib105 article-title: Soft – thresholding for denoising of medical images –a ultra resolution approaches publication-title: Int. J. Wavelets multiresolut. Inf. Process. doi: 10.1142/S021969130500097X – volume: 20 start-page: 238 year: 2007 ident: 10.1016/j.compbiomed.2015.12.006_bib102 article-title: Level set contouring for breast tumor in sonography publication-title: J. Digit. Imaging doi: 10.1007/s10278-006-1041-6 – volume: 50 start-page: 43 year: 2012 ident: 10.1016/j.compbiomed.2015.12.006_bib13 article-title: A segmentation method and comparison of classification methods for thyroid ultrasound images publication-title: Int. J. Comput. Appl. – volume: 2 start-page: 571 year: 2013 ident: 10.1016/j.compbiomed.2015.12.006_bib43 article-title: Thyroid nodules evaluation with sonography publication-title: Int. J. Sci. Res. – volume: 13 start-page: 725 year: 1994 ident: 10.1016/j.compbiomed.2015.12.006_bib131 article-title: Mammographic feature enhancement by multiscale analysis publication-title: IEEE Trans. Med. Imaging doi: 10.1109/42.363095 – volume: 41 start-page: 1967 issue: 7 year: 2015 ident: 10.1016/j.compbiomed.2015.12.006_bib148 article-title: Differentiation of breast lesions by use of HyperSPACE: hyper-spectral analysis for characterization in echography publication-title: Ultrasound Med. Biol. doi: 10.1016/j.ultrasmedbio.2015.02.014 – start-page: 5650 year: 2007 ident: 10.1016/j.compbiomed.2015.12.006_bib104 article-title: Segmentation of solid nodules in ultrasonographic breast image based on wavelet transform publication-title: Conf. Proc. IEEE Eng. Med. Biol. Soc. – volume: 4 start-page: 853 year: 2014 ident: 10.1016/j.compbiomed.2015.12.006_bib118 article-title: Wavelet based segmentation using optimal statistical features on breast images publication-title: ICTACT J. Image Video Process. doi: 10.21917/ijivp.2014.0123 – year: 2011 ident: 10.1016/j.compbiomed.2015.12.006_bib63 – volume: 44 start-page: 76 year: 2014 ident: 10.1016/j.compbiomed.2015.12.006_bib122 article-title: An efficient neural network based method for medical image segmentation publication-title: Comput. Biol. Med. doi: 10.1016/j.compbiomed.2013.10.029 – ident: 10.1016/j.compbiomed.2015.12.006_bib7 doi: 10.1007/978-0-387-88441-7_8 – volume: 10 start-page: 178 issue: 2 year: 2006 ident: 10.1016/j.compbiomed.2015.12.006_bib55 article-title: Computer technology in detection and staging of prostate carcinoma: a review publication-title: Med. Image Anal. doi: 10.1016/j.media.2005.06.003 – volume: 29 start-page: 679 year: 2003 ident: 10.1016/j.compbiomed.2015.12.006_bib24 article-title: Improvement in breast tumor discrimination by support vector machines and speckle-emphasis texture analysis publication-title: Ultrasound Med. Biol. doi: 10.1016/S0301-5629(02)00788-3 – volume: 72 start-page: 57 year: 2004 ident: 10.1016/j.compbiomed.2015.12.006_bib103 article-title: Image texture analysis: methods and comparisons publication-title: Chemom. Intell. Lab. Syst. doi: 10.1016/j.chemolab.2004.02.005 – volume: 43 start-page: 189 year: 2005 ident: 10.1016/j.compbiomed.2015.12.006_bib107 article-title: Robust non homomorphic approach for speckle reduction in medical ultra sound images publication-title: Med. Biol. Eng. Comput. doi: 10.1007/BF02345953 – volume: 1 start-page: 1 year: 2014 ident: 10.1016/j.compbiomed.2015.12.006_bib117 article-title: Development of image analysis system for the evaluation of thyroid nodule malignancy risk in ultrasound thyroid images publication-title: Int. J. Innov. Sci. Eng. Res. – ident: 10.1016/j.compbiomed.2015.12.006_bib139 doi: 10.1109/ICONIP.2002.1198171 – start-page: 399 year: 2013 ident: 10.1016/j.compbiomed.2015.12.006_bib80 article-title: Ovarian tumor characterization using 3D ultrasound – volume: 573 start-page: 471 year: 2014 ident: 10.1016/j.compbiomed.2015.12.006_bib119 article-title: Feature based active contour method for automatic detection of breast lesions using ultrasound images publication-title: Appl. Mech. Mater. doi: 10.4028/www.scientific.net/AMM.573.471 – volume: 237 start-page: 794 year: 2005 ident: 10.1016/j.compbiomed.2015.12.006_bib37 article-title: Management of thyroid nodules detected at US: society of radiologists in ultrasound consensus conference statement publication-title: Radiology doi: 10.1148/radiol.2373050220 – volume: 31 start-page: 681 year: 2008 ident: 10.1016/j.compbiomed.2015.12.006_bib53 article-title: Simple ultrasound-based rules for the diagnosis of ovarian cancer publication-title: Ultrasound Obstet. Gynecol. doi: 10.1002/uog.5365 – volume: 10 start-page: 295 year: 2011 ident: 10.1016/j.compbiomed.2015.12.006_bib154 article-title: Cost effective and non-invasive automated benign & malignant thyroid lesion classification in 3D contrast-enhanced ultrasound using combination of wavelets and textures: a class of Thyroscan™ algorithms publication-title: Technol. Cancer Res. Treat. doi: 10.7785/tcrt.2012.500214 – volume: 84 start-page: 86 year: 2006 ident: 10.1016/j.compbiomed.2015.12.006_bib112 article-title: A hybrid multi-scale model for thyroid nodule boundary detection on ultrasound images publication-title: Comput. Methods Programs Biomed. doi: 10.1016/j.cmpb.2006.09.006 – volume: 57 start-page: 3442 issue: 6 year: 2008 ident: 10.1016/j.compbiomed.2015.12.006_bib150 article-title: Thyroid segmentation and volume estimation in ultrasound images publication-title: IEEE Int. Conf. Syst. Man Cybern. – volume: 18 start-page: 1 year: 2010 ident: 10.1016/j.compbiomed.2015.12.006_bib16 article-title: A contourlet transform feature extraction scheme for ultrasound thyroid texture classification publication-title: Eng. Int. Sys. – volume: 170 start-page: 81 year: 1994 ident: 10.1016/j.compbiomed.2015.12.006_bib51 article-title: Transvaginal ultrasonographic characterization of ovarian masses with an improved, weighted scoring system publication-title: Am. J. Obstet. Gynecol. doi: 10.1016/S0002-9378(13)70284-9 – volume: 19 start-page: 1847 year: 2010 ident: 10.1016/j.compbiomed.2015.12.006_bib95 article-title: Ultrasound despeckling for contrast enhancement publication-title: IEEE Trans.Image Process. doi: 10.1109/TIP.2010.2044962 – volume: 51 start-page: 7 year: 1993 ident: 10.1016/j.compbiomed.2015.12.006_bib50 article-title: A morphology index based on sonographic findings in ovarian cancer publication-title: Gynecol. Oncol. doi: 10.1006/gyno.1993.1238 – volume: 107 start-page: 233 year: 2012 ident: 10.1016/j.compbiomed.2015.12.006_bib68 article-title: ThyroScreen system: high resolution ultrasound thyroid image characterisation into benign and malignant classes using novel combination of texture and discrete wavelet transform publication-title: Comput. Methods Programs Biomed. doi: 10.1016/j.cmpb.2011.10.001 – volume: 64 start-page: 9 year: 2014 ident: 10.1016/j.compbiomed.2015.12.006_bib3 article-title: Cancer Statistics publication-title: CA Cancer J. Clin. doi: 10.3322/caac.21208 – volume: 6 start-page: 1771 year: 2010 ident: 10.1016/j.compbiomed.2015.12.006_bib38 article-title: Thyroid cancer gender disparity publication-title: Future Oncol. doi: 10.2217/fon.10.127 – volume: 8 start-page: 688 year: 2013 ident: 10.1016/j.compbiomed.2015.12.006_bib147 article-title: Shearlet-based texture feature extraction for classification of breast tumor in ultrasound image publication-title: Biomed. Signal Process. Control doi: 10.1016/j.bspc.2013.06.011 – volume: 35 start-page: 237 year: 2014 ident: 10.1016/j.compbiomed.2015.12.006_bib155 article-title: Evolutionary algorithm-based classifier parameter tuning for automatic ovarian cancer tissue characterisation and classification publication-title: Ultraschall Med. – volume: 39 start-page: 646 year: 2006 ident: 10.1016/j.compbiomed.2015.12.006_bib19 article-title: Approaches for automated detection and classification of masses in mammograms publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2005.07.006 – volume: 29 start-page: 455 issue: 2 year: 2010 ident: 10.1016/j.compbiomed.2015.12.006_bib54 article-title: Predictive deconvolution and hybrid feature selection for computer-aided detection of prostate cancer publication-title: Med. Imaging IEEE Trans. doi: 10.1109/TMI.2009.2034517 – volume: 25 start-page: 649 year: 2006 ident: 10.1016/j.compbiomed.2015.12.006_bib33 article-title: Characterization of solid breast masses use of the sonographic breast imaging reporting and data system lexicon publication-title: J. Ultrasound Med. doi: 10.7863/jum.2006.25.5.649 – volume: 41 start-page: 072903 year: 2014 ident: 10.1016/j.compbiomed.2015.12.006_bib121 article-title: Multiresolution edge detection using enhanced fuzzy c-means clustering for ultrasound image speckle reduction publication-title: Med. Phys. doi: 10.1118/1.4883815 – volume: 55 start-page: 2152 year: 2008 ident: 10.1016/j.compbiomed.2015.12.006_bib94 article-title: Speckle noise reduction of medical ultrasound images in complex wavelet domain using mixture priors publication-title: IEEE Trans. Biomed. Eng. doi: 10.1109/TBME.2008.923140 – ident: 10.1016/j.compbiomed.2015.12.006_bib6 – volume: 37 start-page: 1591 issue: 11 year: 2007 ident: 10.1016/j.compbiomed.2015.12.006_bib124 article-title: Boundary delineation in transrectal ultrasound image for prostate cancer publication-title: Comput. Biol. Med. doi: 10.1016/j.compbiomed.2007.02.008 – volume: 5 start-page: 36 year: 2013 ident: 10.1016/j.compbiomed.2015.12.006_bib17 article-title: Computerised cancer detection and classification using ultrasound images: a survey publication-title: Int. J. Eng. Res. Dev. – volume: 244 start-page: 390 year: 2007 ident: 10.1016/j.compbiomed.2015.12.006_bib23 article-title: Breast mass lesions: computer-aided diagnosis models with mammographic and sonographic descriptors publication-title: Radiology doi: 10.1148/radiol.2442060712 – year: 2011 ident: 10.1016/j.compbiomed.2015.12.006_bib12 – volume: 133 start-page: 855 year: 2000 ident: 10.1016/j.compbiomed.2015.12.006_bib21 article-title: Performance of screening mammography among women with and without a first degree relative with breast cancer publication-title: Ann. Intern. Med. doi: 10.7326/0003-4819-133-11-200012050-00009 – volume: 56 start-page: 880 issue: 3 year: 2009 ident: 10.1016/j.compbiomed.2015.12.006_bib149 article-title: Breast tumor classification of ultrasound images using a reversible round-off nonrecursive 1-D discrete periodic wavelet transform publication-title: Biomed. Eng. IEEE Trans. doi: 10.1109/TBME.2008.2008725 – volume: 2929 start-page: 211 year: 2002 ident: 10.1016/j.compbiomed.2015.12.006_bib56 article-title: Studies on tissue characterisation by texture analysis with co-occurrence matrix method using ultrasonography and CT imaging publication-title: J. Med. Ultrason. doi: 10.1007/BF02480852 – ident: 10.1016/j.compbiomed.2015.12.006_bib127 doi: 10.1049/cp:19970958 – volume: 25 start-page: 953 year: 1999 ident: 10.1016/j.compbiomed.2015.12.006_bib84 article-title: The use of the wavelet transform to describe embolic signals publication-title: Ultrasound Med. Biol. doi: 10.1016/S0301-5629(99)00052-6 – volume: 2 start-page: 96 year: 2009 ident: 10.1016/j.compbiomed.2015.12.006_bib88 article-title: Signal filtering using discrete wavelet transform publication-title: Int. J. Recent Trends Eng. – volume: 13 start-page: 529 year: 2014 ident: 10.1016/j.compbiomed.2015.12.006_bib142 article-title: Gynescan: An improved online paradigm for screening of ovarian cancer via tissue characterisation publication-title: Technol. Cancer Res. doi: 10.7785/tcrtexpress.2013.600273 – volume: 1 start-page: 7 issue: 1 year: 2009 ident: 10.1016/j.compbiomed.2015.12.006_bib100 article-title: Speckle noise reduction in ultrasound images by wavelet thresholding based on weighted variance publication-title: Int. J. Comput. Theory Eng. doi: 10.7763/IJCTE.2009.V1.2 – volume: 1 start-page: 81 year: 2012 ident: 10.1016/j.compbiomed.2015.12.006_bib114 article-title: US breast cancer image enhancement and wavelet based denoising publication-title: Bull. Environ. Pharmacol. Life Sci. – volume: 227 start-page: 284 year: 2013 ident: 10.1016/j.compbiomed.2015.12.006_bib116 article-title: Effect of complex wavelet transform filter on thyroid tumor classification in three-dimensional ultrasound publication-title: Proc. Inst. Mech. Eng. Part H J. Eng. Med. doi: 10.1177/0954411912472422 – volume: 8 start-page: 86 year: 2015 ident: 10.1016/j.compbiomed.2015.12.006_bib67 article-title: Automated identification of infarcted myocardium tissue characterization using ultrasound images: a review publication-title: IEEE Rev. Biomed. Eng. doi: 10.1109/RBME.2014.2319854 – volume: 25 start-page: 297 year: 2006 ident: 10.1016/j.compbiomed.2015.12.006_bib98 article-title: Nonlinear multiscale wavelet diffusion for speckle suppression and edge enhancement in ultrasound images publication-title: IEEE Trans. Med. Imaging doi: 10.1109/TMI.2005.862737 – volume: 26 start-page: 453 year: 2002 ident: 10.1016/j.compbiomed.2015.12.006_bib31 article-title: Improving the accuracy of diagnostic breast ultrasound publication-title: Acoust. Imaging doi: 10.1007/978-1-4419-8606-1_57 – volume: 17 start-page: 542 year: 2007 ident: 10.1016/j.compbiomed.2015.12.006_bib109 article-title: A versatile technique for visual enhancement of medical ultrasound images publication-title: Digit. Signal Process. doi: 10.1016/j.dsp.2006.12.001 – ident: 10.1016/j.compbiomed.2015.12.006_bib1 – volume: 29 start-page: 1438 year: 2002 ident: 10.1016/j.compbiomed.2015.12.006_bib30 article-title: Computerized lesion detection on breast ultrasound publication-title: Med. Phys. doi: 10.1118/1.1485995 – volume: 13 start-page: 89 year: 2006 ident: 10.1016/j.compbiomed.2015.12.006_bib9 article-title: Evaluation of the thyroid nodule publication-title: Cancer Control doi: 10.1177/107327480601300202 – volume: 126 start-page: 226 year: 1997 ident: 10.1016/j.compbiomed.2015.12.006_bib42 article-title: Thyroid incidentalomas: management approaches to nonpalpable nodules discovered incidentally on thyroid imaging publication-title: Ann. Intern. Med. doi: 10.7326/0003-4819-126-3-199702010-00009 – start-page: 413 year: 2013 ident: 10.1016/j.compbiomed.2015.12.006_bib79 article-title: Ovarian tumor characterization and classification using ultrasound: a new online paradigm – volume: 40 start-page: 2196 year: 2012 ident: 10.1016/j.compbiomed.2015.12.006_bib97 article-title: SAR speckle reduction using wavelet denoising and markov random field modelling publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2002.802473 – volume: 39 start-page: 1571 year: 2012 ident: 10.1016/j.compbiomed.2015.12.006_bib146 article-title: Clinical study of a noninvasive multimodal sono-contrast induced spectroscopy system for breast cancer diagnosis publication-title: Med. Phys. doi: 10.1118/1.3689811 – ident: 10.1016/j.compbiomed.2015.12.006_bib18 – volume: 16 start-page: 275 year: 2006 ident: 10.1016/j.compbiomed.2015.12.006_bib89 article-title: Optimal selection of wavelet basis function applied to ECG signal denoising publication-title: Digit. Signal Process. doi: 10.1016/j.dsp.2005.12.003 – volume: 26 start-page: 16 issue: 4 year: 2004 ident: 10.1016/j.compbiomed.2015.12.006_bib61 article-title: Emerging technologies in breast cancer detection publication-title: Radiol. Manag. – volume: 9 start-page: 1 year: 2002 ident: 10.1016/j.compbiomed.2015.12.006_bib22 article-title: Computer-aided diagnosis in radiology publication-title: Acad. Radiol. doi: 10.1016/S1076-6332(03)80289-1 – volume: 33 start-page: 91 year: 2009 ident: 10.1016/j.compbiomed.2015.12.006_bib151 article-title: Morphological and wavelet features towards sonographic thyroid nodules evaluation publication-title: Comput. Med. Imaging Graph doi: 10.1016/j.compmedimag.2008.10.010 – volume: 33 start-page: 1144 year: 2012 ident: 10.1016/j.compbiomed.2015.12.006_bib41 article-title: Ultrasound-based diagnostic classification for solid and partially cystic thyroid nodules publication-title: Am. J. Neuroradiol. doi: 10.3174/ajnr.A2923 – ident: 10.1016/j.compbiomed.2015.12.006_bib78 doi: 10.1109/EMBC.2012.6345965 – volume: 1 start-page: 127 year: 2009 ident: 10.1016/j.compbiomed.2015.12.006_bib138 article-title: Early detection of breast cancer using SVM classifier technique publication-title: Int. J. Comput. Sci. Eng. – volume: 1 start-page: 46 year: 2011 ident: 10.1016/j.compbiomed.2015.12.006_bib128 article-title: Breast tumor analysis using texture features and wavelet transform with dynamic neural network based training publication-title: J. Inf. Knowl. Res. Comput. Eng. – volume: 2 start-page: 247 year: 2006 ident: 10.1016/j.compbiomed.2015.12.006_bib93 article-title: A review of wavelet denoising in MRI and ultrasound brain imaging publication-title: Curr. Med. Imaging Rev. doi: 10.2174/157340506776930665 – volume: 224 start-page: 307 year: 2010 ident: 10.1016/j.compbiomed.2015.12.006_bib99 article-title: Ultrasound image segmentation and tissue characterization publication-title: J. Eng. Med. doi: 10.1243/09544119JEIM604 – volume: 38 start-page: 725 year: 2000 ident: 10.1016/j.compbiomed.2015.12.006_bib73 article-title: Computer-aided detection and diagnosis of breast cancer publication-title: Radiol. Clin. North Am. doi: 10.1016/S0033-8389(05)70197-4 – volume: 14 start-page: 536 year: 1995 ident: 10.1016/j.compbiomed.2015.12.006_bib130 article-title: Wavelets for contrast enhancement of digital mammography publication-title: IEEE Eng. Med. Biol. doi: 10.1109/51.464770 – ident: 10.1016/j.compbiomed.2015.12.006_bib110 doi: 10.1109/IEMBS.2005.1616230 – volume: 24 start-page: 779 year: 2003 ident: 10.1016/j.compbiomed.2015.12.006_bib111 article-title: Segmentation of ultrasound images- multiresolution 2D and 3D algorithm based on global and local statistics publication-title: Pattern Recognit. Lett. doi: 10.1016/S0167-8655(02)00181-2 – volume: 5750 start-page: 148 year: 2005 ident: 10.1016/j.compbiomed.2015.12.006_bib140 article-title: Artificial neural network to aid differentiation of malignant and benign breast masses by ultrasound imaging publication-title: Proc. Spie doi: 10.1117/12.595295 – volume: 2 start-page: 88 year: 2013 ident: 10.1016/j.compbiomed.2015.12.006_bib32 article-title: Survey paper on diagnosis of breast cancer using image processing techniques publication-title: Res. J. Recent Sci. – ident: 10.1016/j.compbiomed.2015.12.006_bib4 – year: 2009 ident: 10.1016/j.compbiomed.2015.12.006_bib10 article-title: Thyroid cancer – year: 2010 ident: 10.1016/j.compbiomed.2015.12.006_bib60 – volume: 1 start-page: 1 year: 2012 ident: 10.1016/j.compbiomed.2015.12.006_bib91 article-title: Enhancement of medical ultrasound images using non-linear filtering based on rational-dilation wavelet transform publication-title: Proc. World Congr. Eng. Comput. Sci. – ident: 10.1016/j.compbiomed.2015.12.006_bib81 doi: 10.1109/EMBC.2012.6346953 – volume: 87 start-page: 1941 year: 2002 ident: 10.1016/j.compbiomed.2015.12.006_bib36 article-title: Risk of malignancy in nonpalpable thyroid nodules: predictive value of ultrasound and color-Doppler features publication-title: J. Clin. Endocrinol. Metab doi: 10.1210/jcem.87.5.8504 – volume: 4633 start-page: 1052 year: 2007 ident: 10.1016/j.compbiomed.2015.12.006_bib8 article-title: Efficient and effective ultrasound image analysis scheme for thyroid nodule detection publication-title: Image Anal. Recognit. Lect. Notes Comput. Sci. doi: 10.1007/978-3-540-74260-9_93 – volume: 4 start-page: 724 year: 1997 ident: 10.1016/j.compbiomed.2015.12.006_bib132 article-title: Digital mammography: directional wavelet analysis for feature extraction and mass detection publication-title: Acad. Radiol. – year: 1992 ident: 10.1016/j.compbiomed.2015.12.006_bib87 – volume: 48 start-page: 195 year: 2008 ident: 10.1016/j.compbiomed.2015.12.006_bib52 article-title: Diagnostic accuracy of IOTA ultrasound morphology in the hands of less experienced sonographers publication-title: Aust. N. Z. J. Obstet. Gynaecol. doi: 10.1111/j.1479-828X.2008.00829.x – volume: 29 start-page: 455 issue: 2 year: 2010 ident: 10.1016/j.compbiomed.2015.12.006_bib156 article-title: Predictive deconvolution and hybrid feature selection for computer-aided detection of prostate cancer publication-title: Med. Imaging IEEE Trans. doi: 10.1109/TMI.2009.2034517 – volume: 111 start-page: 989 year: 2006 ident: 10.1016/j.compbiomed.2015.12.006_bib39 article-title: Incidentally discovered thyroid nodules: incidence and grayscale and color Doppler pattern in an adult population screened by real-time compound spatial sonography publication-title: Radiol. Med. doi: 10.1007/s11547-006-0097-1 – volume: 242 start-page: 716 year: 2007 ident: 10.1016/j.compbiomed.2015.12.006_bib28 article-title: Malignant and benign breast masses on 3D US volumetric images: effect of computer-aided diagnosis on radiologist accuracy publication-title: Radiology doi: 10.1148/radiol.2423051464 – volume: 26 start-page: R155 issue: 5 year: 2005 ident: 10.1016/j.compbiomed.2015.12.006_bib86 article-title: Wavelettransforms and the ECG: a review publication-title: Physiol. Meas. doi: 10.1088/0967-3334/26/5/R01 – volume: 26 start-page: 807 year: 2007 ident: 10.1016/j.compbiomed.2015.12.006_bib27 article-title: Comparison of ultrasound elastography, mammography, and sonography in the diagnosis of solid breast lesions publication-title: J. Ultrasound Med. doi: 10.7863/jum.2007.26.6.807 – volume: 9 start-page: 48 year: 2014 ident: 10.1016/j.compbiomed.2015.12.006_bib120 article-title: Masses detection and classification in ultrasound images publication-title: IOSR-J. Pharm. Biol. Sci. – volume: 15 start-page: 59 year: 2002 ident: 10.1016/j.compbiomed.2015.12.006_bib69 article-title: Computer-aided detection and diagnosis at the start of the third millennium publication-title: J. Digit. Imaging doi: 10.1007/s10278-002-0011-x – volume: 40 start-page: 209 year: 2001 ident: 10.1016/j.compbiomed.2015.12.006_bib129 article-title: Tumor detection in digitized mammograms by image texture analysis publication-title: Opt. Eng. doi: 10.1117/1.1338998 – volume: 25 start-page: 1 year: 1978 ident: 10.1016/j.compbiomed.2015.12.006_bib90 article-title: Speckle in ultrasound B-mode scans publication-title: IEEE Trans. Sonics Ultrasonics doi: 10.1109/T-SU.1978.30978 – volume: 16 start-page: 111 year: 2000 ident: 10.1016/j.compbiomed.2015.12.006_bib40 article-title: Ultrasound of thyroid nodules publication-title: Ultrasound Q doi: 10.1097/00013644-200016030-00002 – volume: 15 start-page: 78 year: 2011 ident: 10.1016/j.compbiomed.2015.12.006_bib45 article-title: Thyroid disorders in India: an epidemiological perspective publication-title: Indian J. Endocrinol. Metab. doi: 10.4103/2230-8210.83329 – volume: 78 start-page: 70 year: 1991 ident: 10.1016/j.compbiomed.2015.12.006_bib49 article-title: Transvaginal sonographic characterization of ovarian disease: evaluation of a new scoring system to predict ovarian malignancy publication-title: Obstet. Gynecol. – volume: 23 start-page: 1292 year: 2004 ident: 10.1016/j.compbiomed.2015.12.006_bib141 article-title: Computer-aided diagnosis of solid breast nodules: use of an artificial neural network based on multiple sonographic features publication-title: IEEE Trans. Med. Imaging doi: 10.1109/TMI.2004.834617 – ident: 10.1016/j.compbiomed.2015.12.006_bib11 doi: 10.1007/978-0-387-88441-7_37 – volume: 178 start-page: 687 year: 2002 ident: 10.1016/j.compbiomed.2015.12.006_bib35 article-title: New sonographic criteria for recommending fine-needle aspiration biopsy of nonpalpable solid nodules of the thyroid publication-title: Am. J. Roentgenol. doi: 10.2214/ajr.178.3.1780687 – volume: 101 start-page: 94 year: 2011 ident: 10.1016/j.compbiomed.2015.12.006_bib59 article-title: Segmentation of ultrasound images of the carotid using RANSAC and cubic splines publication-title: Comput. Methods Programs Biomed. doi: 10.1016/j.cmpb.2010.04.015 – ident: 10.1016/j.compbiomed.2015.12.006_bib2 – volume: 32 start-page: 565 year: 2008 ident: 10.1016/j.compbiomed.2015.12.006_bib58 article-title: Computer-aided diagnosis using morphological features for classifying breast lesions on ultrasound publication-title: Ultrasound Obstet. Gynecol. doi: 10.1002/uog.5205 – volume: 184 start-page: 613 year: 1992 ident: 10.1016/j.compbiomed.2015.12.006_bib20 article-title: Analysis of cancers missed at screening mammography publication-title: Radiology doi: 10.1148/radiology.184.3.1509041 – volume: 14 start-page: 97 year: 2013 ident: 10.1016/j.compbiomed.2015.12.006_bib134 article-title: Support vector machine based diagnostic system for thyroid cancer using statistical texture features publication-title: Asian Pac. J. Cancer Prev. doi: 10.7314/APJCP.2013.14.1.97 – volume: 215 year: 2015 ident: 10.1016/j.compbiomed.2015.12.006_bib57 – volume: 5 start-page: 2598 year: 2004 ident: 10.1016/j.compbiomed.2015.12.006_bib66 article-title: Breast cancer diagnosis using image retrieval for different ultrasonic systems publication-title: Int. Conf. Image Process. – volume: 217 start-page: 803 year: 2000 ident: 10.1016/j.compbiomed.2015.12.006_bib34 article-title: US characterization of ovarian masses: a meta-analysis publication-title: Radiology doi: 10.1148/radiology.217.3.r00dc20803 – volume: 13 start-page: 289 issue: 4 year: 2014 ident: 10.1016/j.compbiomed.2015.12.006_bib77 article-title: A review on ultrasound-based thyroid cancer tissue characterization and automated classification publication-title: Technol. Cancer Res. Treat. doi: 10.7785/tcrt.2012.500381 – ident: 10.1016/j.compbiomed.2015.12.006_bib152 – volume: 10 start-page: 1726 year: 2000 ident: 10.1016/j.compbiomed.2015.12.006_bib62 article-title: Role of ultrasonography in the detection of intraductal spread of breast cancer: correlation with pathologic findings, mammography and MR imaging publication-title: Eur. Radiol. doi: 10.1007/s003300000465 – volume: 89 start-page: 179 year: 2005 ident: 10.1016/j.compbiomed.2015.12.006_bib101 article-title: Automatic ultrasound segmentation and morphology based diagnosis of solid breast tumors publication-title: Breast Cancer Res. Treat. doi: 10.1007/s10549-004-2043-z – volume: 50 start-page: 2241 year: 2005 ident: 10.1016/j.compbiomed.2015.12.006_bib25 article-title: Application of the compound probability density function for characterization of breast masses in ultrasound B scans publication-title: Phys. Med. Biol. doi: 10.1088/0031-9155/50/10/004 – volume: 31 start-page: 117 year: 2007 ident: 10.1016/j.compbiomed.2015.12.006_bib113 article-title: Inter-scale wavelet analysis for speckle reduction in thyroid ultrasound images publication-title: Comput. Med. Imaging Graph. doi: 10.1016/j.compmedimag.2006.11.006 – volume: 14 start-page: 251 issue: 3 year: 2015 ident: 10.1016/j.compbiomed.2015.12.006_bib82 article-title: Ovarian Tissue Characterization in ultrasound a review publication-title: Technol. Cancer Res. Treat. doi: 10.1177/1533034614547445 – volume: 10 start-page: 189 year: 2003 ident: 10.1016/j.compbiomed.2015.12.006_bib135 article-title: Support vector machines for diagnosis of breast tumors on US images publication-title: Acad. Radiol. doi: 10.1016/S1076-6332(03)80044-2 – volume: 2 start-page: 384 year: 2013 ident: 10.1016/j.compbiomed.2015.12.006_bib92 article-title: Image denoising for speckle noise reduction in ultrasound images using DWT technique publication-title: Int. J. Appl. Innov. Eng. Manag. – volume: 33 start-page: 840 year: 2006 ident: 10.1016/j.compbiomed.2015.12.006_bib143 article-title: Detection of breast lesion regions in ultrasound images using wavelets and order statistics publication-title: Med. Phys. doi: 10.1118/1.2174134 – volume: 20 start-page: 1205 year: 2001 ident: 10.1016/j.compbiomed.2015.12.006_bib71 article-title: Computer-aided diagnosis in medical imaging publication-title: IEEE Trans. Med. Imaging doi: 10.1109/TMI.2001.974915 – volume: 20 start-page: 251 year: 2006 ident: 10.1016/j.compbiomed.2015.12.006_bib108 article-title: A new algorithm for shot noise removal in medical ultrasound images based on alpha-stable model publication-title: Int. J. Adapt. Control Signal Process. doi: 10.1002/acs.893 – volume: 17 start-page: 143 year: 2011 ident: 10.1016/j.compbiomed.2015.12.006_bib126 article-title: The recent progress in quantitative medical image analysis for computer aided diagnosis systems publication-title: Healthc. Inform. Res. doi: 10.4258/hir.2011.17.3.143 – volume: 2013 year: 2013 ident: 10.1016/j.compbiomed.2015.12.006_bib160 article-title: Improving image quality in medical images using a combined method of undecimated wavelet transform and wavelet coefficient mapping publication-title: Int. J. Biomed. Imaging doi: 10.1155/2013/797924 |
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| Snippet | Ultrasound is an important and low cost imaging modality used to study the internal organs of human body and blood flow through blood vessels. It uses high... Abstract Ultrasound is an important and low cost imaging modality used to study the internal organs of human body and blood flow through blood vessels. It uses... |
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| SubjectTerms | Accuracy Algorithms Breast cancer Cancer Family medical history Health risk assessment Humans Image Processing, Computer-Assisted - methods Internal Medicine Mammography Medical diagnosis Medical imaging Mortality Mutation Neoplasms - diagnostic imaging Other Ovarian cancer Prostate cancer Thyroid cancer Tomography Tumors Ultrasonic imaging Ultrasonography Ultrasound image Urine Wavelet Analysis Wavelet transform Womens health |
| Title | Application of wavelet techniques for cancer diagnosis using ultrasound images: A Review |
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