A hybrid Fuzzy C-Means and Neutrosophic for jaw lesions segmentation

It is really important to diagnose jaw tumor in its early stages to improve its prognosis. A differential diagnosis could be performed using X-ray images; therefore, accurate and fully automatic jaw lesions image segmentation is a challenging and essential task. The aim of this work was to develop a...

Full description

Saved in:
Bibliographic Details
Published in:Ain Shams Engineering Journal Vol. 9; no. 4; pp. 697 - 706
Main Author: Alsmadi, Mutasem K.
Format: Journal Article
Language:English
Published: Elsevier B.V 01.12.2018
Elsevier
Subjects:
Automatic segmentation
Fuzzy C-Means clustering algorithm
Jaw panoramic X-ray image
Neutrosophy
Jaw panoramic X-ray image
Neutrosophy
Automatic segmentation
Fuzzy C-Means clustering algorithm
ISSN:2090-4479
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract It is really important to diagnose jaw tumor in its early stages to improve its prognosis. A differential diagnosis could be performed using X-ray images; therefore, accurate and fully automatic jaw lesions image segmentation is a challenging and essential task. The aim of this work was to develop a novel, fully automatic and effective method for jaw lesions in panoramic X-ray image segmentation. The hybrid Fuzzy C-Means and Neutrosophic approach is used for segmenting jaw image and detecting the jaw lesion region in panoramic X-ray images which may help in diagnosing jaw lesions. Area error metrics are used to assess the performance and efficiency of the proposed approach from different aspects. Both efficiency and accuracy are analyzed. Specificity, sensitivity and similarity analyses are conducted to assess the robustness of the proposed approach. Comparing the proposed approach with the Hybrid Firefly Algorithm with the Fuzzy C-Means, and the Artificial Bee Colony with the Fuzzy C-Means algorithm, the proposed approach produces the most identical lesion region to the manual delineation by the Oral Pathologist and shows better performance (FP rate is 6.1%, TP rate is 90%, specificity rate is 0.9412, sensitivity rate is 0.9592 and similarity rate is 0.9471).
AbstractList It is really important to diagnose jaw tumor in its early stages to improve its prognosis. A differential diagnosis could be performed using X-ray images; therefore, accurate and fully automatic jaw lesions image segmentation is a challenging and essential task. The aim of this work was to develop a novel, fully automatic and effective method for jaw lesions in panoramic X-ray image segmentation. The hybrid Fuzzy C-Means and Neutrosophic approach is used for segmenting jaw image and detecting the jaw lesion region in panoramic X-ray images which may help in diagnosing jaw lesions. Area error metrics are used to assess the performance and efficiency of the proposed approach from different aspects. Both efficiency and accuracy are analyzed. Specificity, sensitivity and similarity analyses are conducted to assess the robustness of the proposed approach. Comparing the proposed approach with the Hybrid Firefly Algorithm with the Fuzzy C-Means, and the Artificial Bee Colony with the Fuzzy C-Means algorithm, the proposed approach produces the most identical lesion region to the manual delineation by the Oral Pathologist and shows better performance (FP rate is 6.1%, TP rate is 90%, specificity rate is 0.9412, sensitivity rate is 0.9592 and similarity rate is 0.9471). Keywords: Automatic segmentation, Jaw panoramic X-ray image, Neutrosophy, Fuzzy C-Means clustering algorithm
It is really important to diagnose jaw tumor in its early stages to improve its prognosis. A differential diagnosis could be performed using X-ray images; therefore, accurate and fully automatic jaw lesions image segmentation is a challenging and essential task. The aim of this work was to develop a novel, fully automatic and effective method for jaw lesions in panoramic X-ray image segmentation. The hybrid Fuzzy C-Means and Neutrosophic approach is used for segmenting jaw image and detecting the jaw lesion region in panoramic X-ray images which may help in diagnosing jaw lesions. Area error metrics are used to assess the performance and efficiency of the proposed approach from different aspects. Both efficiency and accuracy are analyzed. Specificity, sensitivity and similarity analyses are conducted to assess the robustness of the proposed approach. Comparing the proposed approach with the Hybrid Firefly Algorithm with the Fuzzy C-Means, and the Artificial Bee Colony with the Fuzzy C-Means algorithm, the proposed approach produces the most identical lesion region to the manual delineation by the Oral Pathologist and shows better performance (FP rate is 6.1%, TP rate is 90%, specificity rate is 0.9412, sensitivity rate is 0.9592 and similarity rate is 0.9471).
Author Alsmadi, Mutasem K.
Author_xml – sequence: 1
  givenname: Mutasem K.
  surname: Alsmadi
  fullname: Alsmadi, Mutasem K.
  email: mksalsmadi@gmail.com, mkalsmadi@uod.edu.sa
  organization: Department of MIS, College of Applied Studies and Community Service, University of Dammam, Saudi Arabia
BookMark eNp9kM1OAjEURrvARERewNW8wIz9G6ZN3BAUJUHd6LppO7fQCcyQdtDA01vEuHDh6ru96fmSe67QoO1aQOiG4IJgMrltCh2hKWiaC8yKFAM0pFjinPNKXqJxjN7gNFNRinKI7qfZ-mCCr7P5_ng8ZLP8GXQbM93W2Qvs-9DFbrf2NnNdyBr9mW0g-i59iLDaQtvrPr2u0YXTmwjjnxyh9_nD2-wpX74-LmbTZW65wH1uqGNOSspxLQwnkpDKlViABiLLSlCpJwRzS6mVkrjKgHVGalZbwxjIkrARWpx76043ahf8VoeD6rRX34surJQOvbcbUKmCOVOXnHDLpSsN1hUjUFnBiRAlT1303GXTiTGA--0jWJ1UqkadVKqTSoWZSpEg8Qey_qygD9pv_kfvzigkQR8egorWQ2uh9gFsny7w_-Ff8ZuScg
CitedBy_id crossref_primary_10_1016_j_dajour_2023_100223
crossref_primary_10_1007_s00500_024_09669_0
crossref_primary_10_3390_e26121059
crossref_primary_10_3390_s22093440
crossref_primary_10_1007_s13369_020_04384_y
crossref_primary_10_1016_j_oooo_2024_03_004
crossref_primary_10_1007_s13369_023_08087_y
crossref_primary_10_1155_2022_1414119
crossref_primary_10_32628_IJSRST207233
crossref_primary_10_1016_j_oooo_2019_11_007
crossref_primary_10_1177_20552076241277154
crossref_primary_10_32628_IJSRST207352
crossref_primary_10_1007_s10115_025_02353_1
crossref_primary_10_32628_IJSRST207336
crossref_primary_10_32628_IJSRST207157
crossref_primary_10_32628_IJSRST207334
crossref_primary_10_1016_j_jksuci_2020_07_005
crossref_primary_10_32628_IJSRST207338
crossref_primary_10_3389_fmedt_2021_767836
crossref_primary_10_3390_technologies13070293
crossref_primary_10_1093_dmfr_twae022
crossref_primary_10_32628_IJSRST207319
crossref_primary_10_1155_2022_1153208
crossref_primary_10_1016_j_engappai_2022_105004
crossref_primary_10_1109_ACCESS_2020_3037677
crossref_primary_10_3389_fmolb_2022_932348
crossref_primary_10_32628_IJSRST207162
crossref_primary_10_32628_IJSRST207163
crossref_primary_10_32628_IJSRST207160
crossref_primary_10_7717_peerj_cs_620
crossref_primary_10_32628_IJSRST207161
crossref_primary_10_1016_j_bspc_2018_08_025
crossref_primary_10_1007_s11042_020_09228_3
crossref_primary_10_1007_s12650_025_01074_5
crossref_primary_10_1177_09544119231157137
crossref_primary_10_1155_2022_8415705
crossref_primary_10_1007_s11042_020_09384_6
crossref_primary_10_1049_ipr2_12416
crossref_primary_10_1007_s00521_021_05790_5
Cites_doi 10.1080/01969727308546046
10.1007/978-1-4757-0450-1
10.1016/j.ultrasmedbio.2008.12.007
10.3923/jas.2015.100.109
10.1259/dmfr/18200441
10.12962/j20882033.v22i3.66
10.1016/j.mri.2009.01.024
10.12968/denu.2013.40.3.216
10.1016/S0033-8389(22)02197-2
10.18869/acadpub.3dj.2.2.1
10.1590/S0102-311X2009000500008
10.3844/ajassp.2014.1676.1691
10.1016/j.compmedimag.2007.02.002
10.1007/s13721-014-0050-5
10.1142/S1793005708001082
10.1118/1.4747271
10.4018/978-1-60566-186-5
10.1109/TITB.2005.847500
10.1259/dmfr.18.2.2699592
10.4103/0975-5950.117879
10.1259/dmfr/60326577
10.1016/j.compbiomed.2007.12.005
10.1155/2014/891950
10.4103/1735-3327.113325
10.1016/j.patcog.2011.08.027
10.1002/ima.22108
10.1016/j.patcog.2015.02.018
ContentType Journal Article
Copyright 2016 Faculty of Engineering, Ain Shams University
Copyright_xml – notice: 2016 Faculty of Engineering, Ain Shams University
DBID 6I.
AAFTH
AAYXX
CITATION
DOA
DOI 10.1016/j.asej.2016.03.016
DatabaseName ScienceDirect Open Access Titles
Elsevier:ScienceDirect:Open Access
CrossRef
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
DatabaseTitleList

Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
DeliveryMethod fulltext_linktorsrc
EndPage 706
ExternalDocumentID oai_doaj_org_article_c993fbd5414c49f5b0a731e7c8418854
10_1016_j_asej_2016_03_016
S2090447916300430
GroupedDBID 6I.
AAFTH
ALMA_UNASSIGNED_HOLDINGS
M~E
AAYXX
CITATION
GROUPED_DOAJ
ID FETCH-LOGICAL-c480t-b2f3f99240d8b419117f508eae1957829a6104c22c991f7becfb9a3dcb33e9513
IEDL.DBID DOA
ISICitedReferencesCount 37
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000454548400023&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 2090-4479
IngestDate Fri Oct 03 12:33:00 EDT 2025
Sat Nov 29 03:43:39 EST 2025
Tue Nov 18 20:54:00 EST 2025
Sat Apr 29 22:48:20 EDT 2023
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 4
Keywords Jaw panoramic X-ray image
Neutrosophy
Automatic segmentation
Fuzzy C-Means clustering algorithm
Language English
License This is an open access article under the CC BY-NC-ND license.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c480t-b2f3f99240d8b419117f508eae1957829a6104c22c991f7becfb9a3dcb33e9513
OpenAccessLink https://doaj.org/article/c993fbd5414c49f5b0a731e7c8418854
PageCount 10
ParticipantIDs doaj_primary_oai_doaj_org_article_c993fbd5414c49f5b0a731e7c8418854
crossref_primary_10_1016_j_asej_2016_03_016
crossref_citationtrail_10_1016_j_asej_2016_03_016
elsevier_sciencedirect_doi_10_1016_j_asej_2016_03_016
PublicationCentury 2000
PublicationDate 2018-12-01
PublicationDateYYYYMMDD 2018-12-01
PublicationDate_xml – month: 12
  year: 2018
  text: 2018-12-01
  day: 01
PublicationDecade 2010
PublicationTitle Ain Shams Engineering Journal
PublicationYear 2018
Publisher Elsevier B.V
Elsevier
Publisher_xml – name: Elsevier B.V
– name: Elsevier
References Shen, Sandham, Granat, Sterr (b0100) 2005; 9
Alsmadi (b0155) 2014; 11
White (b0040) 1989; 18
Mohan, Yanhui, Krishnaveni, Jeganathan (b0165) 2012
Barnes L, Eveson J, Reichart P, Sidransky D. World Health Organization (WHO) classification of tumors: pathology and genetics of head and neck tumors; 2005.
Liew AW-C. Visual speech recognition: lip segmentation and mapping; 2009.
Khosravi, Razavi, Kowkabi, Navabi (b0005) 2013; 10
Gundappa, Ng, Whaites (b0035) 2006; 35
Neyaz, Gadodia, Gamanagatti, Mukhopadhyay (b0060) 2008; 49
Sharma, Om (b0025) 2014; 3
Rajendran (b0010) 2009
Guo, Sengur (b0135) 2015; 48
Weber (b0030) 1993; 31
Nurtanio, Purnama, Hariadi, Purnomo (b0120) 2011; 22
Khayati, Vafadust, Towhidkhah, Nabavi (b0195) 2008; 38
Shan, Cheng, Wang (b0125) 2012; 39
Anuradha, Sankaranarayanan (b0110) 2015; 5
Bhadage, Vaishampayan, Kolhe, Umarji (b0015) 2013; 40
Santhosh (b0020) 2015; 1
Anuradha (b0105) 2013; 4
Trifas (b0150) 2005
Mileman, van den Hout (b0045) 2009; 38
Jamdade, John (b0070) 2013; 7
Bezdek JC. Pattern recognition with fuzzy objective function algorithms; 1981. p. 256.
Liu, Cheng, Huang, Tian, Liu, Tang (b0180) 2009; 35
Maghsoudi, Bagheri, Maghsoudi (b0115) 2013; 2
Guo, Cheng, Zhang, Zhao (b0170) 2008
Doi (b0050) 2007; 31
Anuradha, Sankaranarayanan (b0085) 2012; 52
Dunn (b0090) 1973; 3
Gupta, Grover, Kadam, Gupta, Sah, Sunitha (b0075) 2013; 4
Alsmadi (b0160) 2015; 15
Sikka, Sinha, Singh, Mishra (b0185) 2009; 27
Lin, Lai, Huang (b0055) 2012; 45
Cheng, Guo (b0140) 2008; 04
Abid Fourati, Bouhlel (b0200) 2014; 2014
Martins, Chalub, Lima-Arsati, Pordeus, Paiva (b0080) 2009; 25
Govindaraj, Murugan (b0190) 2014; 24
Anter, Hassanien, ElSoud, Tolba (b0145) 2014
Bernaerts, Vanhoenacker, Hintjens, Chapelle, De Schepper (b0065) 2006; 89
Smarandache (b0130) 2003
Anter (10.1016/j.asej.2016.03.016_b0145) 2014
Sharma (10.1016/j.asej.2016.03.016_b0025) 2014; 3
Anuradha (10.1016/j.asej.2016.03.016_b0085) 2012; 52
Anuradha (10.1016/j.asej.2016.03.016_b0110) 2015; 5
Guo (10.1016/j.asej.2016.03.016_b0170) 2008
Santhosh (10.1016/j.asej.2016.03.016_b0020) 2015; 1
Smarandache (10.1016/j.asej.2016.03.016_b0130) 2003
Khayati (10.1016/j.asej.2016.03.016_b0195) 2008; 38
Sikka (10.1016/j.asej.2016.03.016_b0185) 2009; 27
Guo (10.1016/j.asej.2016.03.016_b0135) 2015; 48
Gupta (10.1016/j.asej.2016.03.016_b0075) 2013; 4
Jamdade (10.1016/j.asej.2016.03.016_b0070) 2013; 7
10.1016/j.asej.2016.03.016_b0175
Weber (10.1016/j.asej.2016.03.016_b0030) 1993; 31
Gundappa (10.1016/j.asej.2016.03.016_b0035) 2006; 35
White (10.1016/j.asej.2016.03.016_b0040) 1989; 18
Dunn (10.1016/j.asej.2016.03.016_b0090) 1973; 3
Khosravi (10.1016/j.asej.2016.03.016_b0005) 2013; 10
Doi (10.1016/j.asej.2016.03.016_b0050) 2007; 31
Bhadage (10.1016/j.asej.2016.03.016_b0015) 2013; 40
Alsmadi (10.1016/j.asej.2016.03.016_b0160) 2015; 15
Abid Fourati (10.1016/j.asej.2016.03.016_b0200) 2014; 2014
Nurtanio (10.1016/j.asej.2016.03.016_b0120) 2011; 22
Mohan (10.1016/j.asej.2016.03.016_b0165) 2012
Mileman (10.1016/j.asej.2016.03.016_b0045) 2009; 38
Trifas (10.1016/j.asej.2016.03.016_b0150) 2005
Alsmadi (10.1016/j.asej.2016.03.016_b0155) 2014; 11
Shen (10.1016/j.asej.2016.03.016_b0100) 2005; 9
10.1016/j.asej.2016.03.016_b0205
Liu (10.1016/j.asej.2016.03.016_b0180) 2009; 35
Martins (10.1016/j.asej.2016.03.016_b0080) 2009; 25
Cheng (10.1016/j.asej.2016.03.016_b0140) 2008; 04
10.1016/j.asej.2016.03.016_b0095
Rajendran (10.1016/j.asej.2016.03.016_b0010) 2009
Shan (10.1016/j.asej.2016.03.016_b0125) 2012; 39
Maghsoudi (10.1016/j.asej.2016.03.016_b0115) 2013; 2
Govindaraj (10.1016/j.asej.2016.03.016_b0190) 2014; 24
Bernaerts (10.1016/j.asej.2016.03.016_b0065) 2006; 89
Lin (10.1016/j.asej.2016.03.016_b0055) 2012; 45
Anuradha (10.1016/j.asej.2016.03.016_b0105) 2013; 4
Neyaz (10.1016/j.asej.2016.03.016_b0060) 2008; 49
References_xml – volume: 52
  year: 2012
  ident: b0085
  article-title: Detection of oral tumor based on marker-controlled watershed algorithm
  publication-title: Int J Comput Appl
– volume: 49
  start-page: 165
  year: 2008
  end-page: 176
  ident: b0060
  article-title: Radiographical approach to jaw lesions
  publication-title: Singapore Med J
– start-page: 327
  year: 2012
  end-page: 331
  ident: b0165
  article-title: MRI denoising based on neutrosophic wiener filtering
  publication-title: Imaging Systems and Techniques (IST), 2012 IEEE international conference on, 16–17 July 2012
– volume: 31
  start-page: 101
  year: 1993
  end-page: 120
  ident: b0030
  article-title: Imaging of cysts and odontogenic tumors of the jaw. Definition and classification
  publication-title: Radiol Clin North Am
– volume: 3
  start-page: 32
  year: 1973
  end-page: 57
  ident: b0090
  article-title: A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
  publication-title: J Cybernetics
– volume: 2
  start-page: 1
  year: 2013
  end-page: 8
  ident: b0115
  article-title: Diagnosis prediction of lichen planus, leukoplakia and oral squamous cell carcinoma by using an intelligent system based on artificial neural networks
  publication-title: J Dentomaxillofacial Radiol, Pathol Surg
– volume: 04
  start-page: 291
  year: 2008
  end-page: 308
  ident: b0140
  article-title: A new neutrosophic approach to image thresholding
  publication-title: New Math Nat Comput
– volume: 1
  start-page: 41
  year: 2015
  end-page: 46
  ident: b0020
  article-title: Review on emerging techniques to detect oral cancer
  publication-title: Int J Electr Sci Eng
– volume: 40
  start-page: 216
  year: 2013
  end-page: 221
  ident: b0015
  article-title: Osteosarcoma of the mandible mimicking an odontogenic abscess: a case report and review of the literature
  publication-title: Dent Update
– volume: 10
  start-page: 162
  year: 2013
  end-page: 167
  ident: b0005
  article-title: Demographic distribution of odontogenic cysts in Isfahan (Iran) over a 23-year period (1988–2010)
  publication-title: Dent Res J
– year: 2009
  ident: b0010
  article-title: Shafer’s textbook of oral pathology
– volume: 15
  start-page: 100
  year: 2015
  end-page: 109
  ident: b0160
  article-title: MRI brain segmentation using a hybrid artificial bee colony algorithm with fuzzy-C mean algorithm
  publication-title: J Appl Sci
– volume: 24
  start-page: 313
  year: 2014
  end-page: 325
  ident: b0190
  article-title: A complete automated algorithm for segmentation of tissues and identification of tumor region in T1, T2, and FLAIR brain images using optimization and clustering techniques
  publication-title: Int J Imag Syst Technol
– volume: 31
  start-page: 198
  year: 2007
  end-page: 211
  ident: b0050
  article-title: Computer-aided diagnosis in medical imaging: historical review, current status and future potential
  publication-title: Comput Med Imag Graph: Off J Comput Med Imag Soc
– volume: 11
  start-page: 1676
  year: 2014
  end-page: 1691
  ident: b0155
  article-title: A hybrid firefly algorithm with fuzzy-C mean algorithm for MRI brain segmentation
  publication-title: Am J Appl Sci
– reference: Barnes L, Eveson J, Reichart P, Sidransky D. World Health Organization (WHO) classification of tumors: pathology and genetics of head and neck tumors; 2005.
– volume: 2014
  year: 2014
  ident: b0200
  article-title: Trabecular bone image segmentation using wavelet and marker-controlled watershed transformation
  publication-title: Chin J Eng
– start-page: 1
  year: 2008
  end-page: 6
  ident: b0170
  article-title: A new neutrosophic approach to image thresholding
  publication-title: New Math Nat Comput
– volume: 35
  start-page: 326
  year: 2006
  end-page: 333
  ident: b0035
  article-title: Comparison of ultrasound, digital and conventional radiography in differentiating periapical lesions
  publication-title: Dentomaxillofacial Radiol
– reference: Liew AW-C. Visual speech recognition: lip segmentation and mapping; 2009.
– volume: 39
  start-page: 5669
  year: 2012
  end-page: 5682
  ident: b0125
  article-title: A novel segmentation method for breast ultrasound images based on neutrosophic l-means clustering
  publication-title: Med Phys
– start-page: 143
  year: 2003
  ident: b0130
  article-title: A unifying field in logics: neutrosophic logic. Neutrosophy, neutrosophic set, neutrosophic probability
– volume: 5
  start-page: 451
  year: 2015
  end-page: 456
  ident: b0110
  article-title: Oral cancer detection using improved segmentation algorithm
  publication-title: Int J Adv Res Comput Sci Softw Eng
– volume: 27
  start-page: 994
  year: 2009
  end-page: 1004
  ident: b0185
  article-title: A fully automated algorithm under modified FCM framework for improved brain MR image segmentation
  publication-title: Magn Reson Imag
– volume: 7
  start-page: 2351
  year: 2013
  end-page: 2355
  ident: b0070
  article-title: Bone scintigraphy and panoramic radiography in deciding the extent of bone resection in Benign jaw lesions
  publication-title: J Clin Diagn Res: JCDR
– volume: 3
  start-page: 1
  year: 2014
  end-page: 13
  ident: b0025
  article-title: Significant patterns for oral cancer detection: association rule on clinical examination and history data
  publication-title: Netw Model Anal Health Inform Bioinform
– volume: 48
  start-page: 2710
  year: 2015
  end-page: 2724
  ident: b0135
  article-title: NCM: neutrosophic c-means clustering algorithm
  publication-title: Pattern Recogn
– volume: 18
  start-page: 53
  year: 1989
  end-page: 59
  ident: b0040
  article-title: Computer-aided differential diagnosis of oral radiographic lesions
  publication-title: Dentomaxillofacial Radiol
– volume: 38
  start-page: 1
  year: 2009
  end-page: 10
  ident: b0045
  article-title: Evidence-based diagnosis and clinical decision making
  publication-title: Dentomaxillofacial Radiol
– volume: 25
  start-page: 1017
  year: 2009
  end-page: 1024
  ident: b0080
  article-title: Agreement in the diagnosis of dental fluorosis in central incisors performed by a standardized photographic method and clinical examination
  publication-title: Cadernos de Saúde Pública
– volume: 38
  start-page: 379
  year: 2008
  end-page: 390
  ident: b0195
  article-title: Fully automatic segmentation of multiple sclerosis lesions in brain MR FLAIR images using adaptive mixtures method and markov random field model
  publication-title: Comput Biol Med
– volume: 22
  year: 2011
  ident: b0120
  article-title: Cyst and tumor lesion segmentation on dental panoramic images using active contour models
  publication-title: IPTEK J Technol Sci
– year: 2005
  ident: b0150
  article-title: Medical image enhancement
– reference: Bezdek JC. Pattern recognition with fuzzy objective function algorithms; 1981. p. 256.
– volume: 45
  start-page: 934
  year: 2012
  end-page: 946
  ident: b0055
  article-title: Dental biometrics: human identification based on teeth and dental works in bitewing radiographs
  publication-title: Pattern Recogn
– volume: 35
  start-page: 1309
  year: 2009
  end-page: 1324
  ident: b0180
  article-title: Automated segmentation of ultrasonic breast lesions using statistical texture classification and active contour based on probability distance
  publication-title: Ultrasound Med Biol
– start-page: 193
  year: 2014
  end-page: 203
  ident: b0145
  article-title: Neutrosophic sets and fuzzy C-means clustering for improving CT liver image segmentation
  publication-title: Proceedings of the fifth international conference on innovations in bio-inspired computing and applications IBICA 2014
– volume: 4
  start-page: 81
  year: 2013
  end-page: 83
  ident: b0075
  article-title: Odontogenic myxoma
  publication-title: Natl J Maxillofacial Surg
– volume: 89
  start-page: 43
  year: 2006
  end-page: 46
  ident: b0065
  article-title: Imaging approach for differential diagnosis of jaw lesions: a quick reference guide
  publication-title: JBR-BTR
– volume: 9
  start-page: 459
  year: 2005
  end-page: 467
  ident: b0100
  article-title: MRI fuzzy segmentation of brain tissue using neighborhood attraction with neural-network optimization
  publication-title: Inf Technol Biomed, IEEE Trans
– volume: 4
  start-page: 8
  year: 2013
  end-page: 12
  ident: b0105
  article-title: Statistical feature extraction to classify oral cancers
  publication-title: J Glob Res Comput Sci
– volume: 3
  start-page: 32
  issue: 3
  year: 1973
  ident: 10.1016/j.asej.2016.03.016_b0090
  article-title: A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
  publication-title: J Cybernetics
  doi: 10.1080/01969727308546046
– start-page: 1
  year: 2008
  ident: 10.1016/j.asej.2016.03.016_b0170
  article-title: A new neutrosophic approach to image thresholding
  publication-title: New Math Nat Comput
– ident: 10.1016/j.asej.2016.03.016_b0095
  doi: 10.1007/978-1-4757-0450-1
– volume: 35
  start-page: 1309
  issue: 8
  year: 2009
  ident: 10.1016/j.asej.2016.03.016_b0180
  article-title: Automated segmentation of ultrasonic breast lesions using statistical texture classification and active contour based on probability distance
  publication-title: Ultrasound Med Biol
  doi: 10.1016/j.ultrasmedbio.2008.12.007
– volume: 15
  start-page: 100
  year: 2015
  ident: 10.1016/j.asej.2016.03.016_b0160
  article-title: MRI brain segmentation using a hybrid artificial bee colony algorithm with fuzzy-C mean algorithm
  publication-title: J Appl Sci
  doi: 10.3923/jas.2015.100.109
– volume: 38
  start-page: 1
  issue: 1
  year: 2009
  ident: 10.1016/j.asej.2016.03.016_b0045
  article-title: Evidence-based diagnosis and clinical decision making
  publication-title: Dentomaxillofacial Radiol
  doi: 10.1259/dmfr/18200441
– volume: 4
  start-page: 8
  issue: 2
  year: 2013
  ident: 10.1016/j.asej.2016.03.016_b0105
  article-title: Statistical feature extraction to classify oral cancers
  publication-title: J Glob Res Comput Sci
– volume: 22
  issue: 3
  year: 2011
  ident: 10.1016/j.asej.2016.03.016_b0120
  article-title: Cyst and tumor lesion segmentation on dental panoramic images using active contour models
  publication-title: IPTEK J Technol Sci
  doi: 10.12962/j20882033.v22i3.66
– volume: 27
  start-page: 994
  issue: 7
  year: 2009
  ident: 10.1016/j.asej.2016.03.016_b0185
  article-title: A fully automated algorithm under modified FCM framework for improved brain MR image segmentation
  publication-title: Magn Reson Imag
  doi: 10.1016/j.mri.2009.01.024
– volume: 40
  start-page: 216
  issue: 3
  year: 2013
  ident: 10.1016/j.asej.2016.03.016_b0015
  article-title: Osteosarcoma of the mandible mimicking an odontogenic abscess: a case report and review of the literature
  publication-title: Dent Update
  doi: 10.12968/denu.2013.40.3.216
– volume: 31
  start-page: 101
  issue: 1
  year: 1993
  ident: 10.1016/j.asej.2016.03.016_b0030
  article-title: Imaging of cysts and odontogenic tumors of the jaw. Definition and classification
  publication-title: Radiol Clin North Am
  doi: 10.1016/S0033-8389(22)02197-2
– volume: 2
  start-page: 1
  issue: 2
  year: 2013
  ident: 10.1016/j.asej.2016.03.016_b0115
  article-title: Diagnosis prediction of lichen planus, leukoplakia and oral squamous cell carcinoma by using an intelligent system based on artificial neural networks
  publication-title: J Dentomaxillofacial Radiol, Pathol Surg
  doi: 10.18869/acadpub.3dj.2.2.1
– volume: 25
  start-page: 1017
  year: 2009
  ident: 10.1016/j.asej.2016.03.016_b0080
  article-title: Agreement in the diagnosis of dental fluorosis in central incisors performed by a standardized photographic method and clinical examination
  publication-title: Cadernos de Saúde Pública
  doi: 10.1590/S0102-311X2009000500008
– volume: 11
  start-page: 1676
  issue: 9
  year: 2014
  ident: 10.1016/j.asej.2016.03.016_b0155
  article-title: A hybrid firefly algorithm with fuzzy-C mean algorithm for MRI brain segmentation
  publication-title: Am J Appl Sci
  doi: 10.3844/ajassp.2014.1676.1691
– volume: 1
  start-page: 41
  issue: 1
  year: 2015
  ident: 10.1016/j.asej.2016.03.016_b0020
  article-title: Review on emerging techniques to detect oral cancer
  publication-title: Int J Electr Sci Eng
– volume: 31
  start-page: 198
  issue: 4–5
  year: 2007
  ident: 10.1016/j.asej.2016.03.016_b0050
  article-title: Computer-aided diagnosis in medical imaging: historical review, current status and future potential
  publication-title: Comput Med Imag Graph: Off J Comput Med Imag Soc
  doi: 10.1016/j.compmedimag.2007.02.002
– year: 2005
  ident: 10.1016/j.asej.2016.03.016_b0150
– volume: 3
  start-page: 1
  issue: 1
  year: 2014
  ident: 10.1016/j.asej.2016.03.016_b0025
  article-title: Significant patterns for oral cancer detection: association rule on clinical examination and history data
  publication-title: Netw Model Anal Health Inform Bioinform
  doi: 10.1007/s13721-014-0050-5
– volume: 04
  start-page: 291
  issue: 03
  year: 2008
  ident: 10.1016/j.asej.2016.03.016_b0140
  article-title: A new neutrosophic approach to image thresholding
  publication-title: New Math Nat Comput
  doi: 10.1142/S1793005708001082
– volume: 39
  start-page: 5669
  issue: 9
  year: 2012
  ident: 10.1016/j.asej.2016.03.016_b0125
  article-title: A novel segmentation method for breast ultrasound images based on neutrosophic l-means clustering
  publication-title: Med Phys
  doi: 10.1118/1.4747271
– ident: 10.1016/j.asej.2016.03.016_b0205
  doi: 10.4018/978-1-60566-186-5
– volume: 9
  start-page: 459
  issue: 3
  year: 2005
  ident: 10.1016/j.asej.2016.03.016_b0100
  article-title: MRI fuzzy segmentation of brain tissue using neighborhood attraction with neural-network optimization
  publication-title: Inf Technol Biomed, IEEE Trans
  doi: 10.1109/TITB.2005.847500
– volume: 7
  start-page: 2351
  issue: 10
  year: 2013
  ident: 10.1016/j.asej.2016.03.016_b0070
  article-title: Bone scintigraphy and panoramic radiography in deciding the extent of bone resection in Benign jaw lesions
  publication-title: J Clin Diagn Res: JCDR
– volume: 49
  start-page: 165
  issue: 2
  year: 2008
  ident: 10.1016/j.asej.2016.03.016_b0060
  article-title: Radiographical approach to jaw lesions
  publication-title: Singapore Med J
– ident: 10.1016/j.asej.2016.03.016_b0175
– volume: 52
  issue: 2
  year: 2012
  ident: 10.1016/j.asej.2016.03.016_b0085
  article-title: Detection of oral tumor based on marker-controlled watershed algorithm
  publication-title: Int J Comput Appl
– volume: 18
  start-page: 53
  issue: 2
  year: 1989
  ident: 10.1016/j.asej.2016.03.016_b0040
  article-title: Computer-aided differential diagnosis of oral radiographic lesions
  publication-title: Dentomaxillofacial Radiol
  doi: 10.1259/dmfr.18.2.2699592
– volume: 4
  start-page: 81
  issue: 1
  year: 2013
  ident: 10.1016/j.asej.2016.03.016_b0075
  article-title: Odontogenic myxoma
  publication-title: Natl J Maxillofacial Surg
  doi: 10.4103/0975-5950.117879
– volume: 35
  start-page: 326
  issue: 5
  year: 2006
  ident: 10.1016/j.asej.2016.03.016_b0035
  article-title: Comparison of ultrasound, digital and conventional radiography in differentiating periapical lesions
  publication-title: Dentomaxillofacial Radiol
  doi: 10.1259/dmfr/60326577
– year: 2009
  ident: 10.1016/j.asej.2016.03.016_b0010
– volume: 89
  start-page: 43
  issue: 1
  year: 2006
  ident: 10.1016/j.asej.2016.03.016_b0065
  article-title: Imaging approach for differential diagnosis of jaw lesions: a quick reference guide
  publication-title: JBR-BTR
– start-page: 327
  year: 2012
  ident: 10.1016/j.asej.2016.03.016_b0165
  article-title: MRI denoising based on neutrosophic wiener filtering
– volume: 38
  start-page: 379
  issue: 3
  year: 2008
  ident: 10.1016/j.asej.2016.03.016_b0195
  article-title: Fully automatic segmentation of multiple sclerosis lesions in brain MR FLAIR images using adaptive mixtures method and markov random field model
  publication-title: Comput Biol Med
  doi: 10.1016/j.compbiomed.2007.12.005
– volume: 2014
  year: 2014
  ident: 10.1016/j.asej.2016.03.016_b0200
  article-title: Trabecular bone image segmentation using wavelet and marker-controlled watershed transformation
  publication-title: Chin J Eng
  doi: 10.1155/2014/891950
– volume: 5
  start-page: 451
  issue: 1
  year: 2015
  ident: 10.1016/j.asej.2016.03.016_b0110
  article-title: Oral cancer detection using improved segmentation algorithm
  publication-title: Int J Adv Res Comput Sci Softw Eng
– volume: 10
  start-page: 162
  issue: 2
  year: 2013
  ident: 10.1016/j.asej.2016.03.016_b0005
  article-title: Demographic distribution of odontogenic cysts in Isfahan (Iran) over a 23-year period (1988–2010)
  publication-title: Dent Res J
  doi: 10.4103/1735-3327.113325
– volume: 45
  start-page: 934
  issue: 3
  year: 2012
  ident: 10.1016/j.asej.2016.03.016_b0055
  article-title: Dental biometrics: human identification based on teeth and dental works in bitewing radiographs
  publication-title: Pattern Recogn
  doi: 10.1016/j.patcog.2011.08.027
– volume: 24
  start-page: 313
  issue: 4
  year: 2014
  ident: 10.1016/j.asej.2016.03.016_b0190
  article-title: A complete automated algorithm for segmentation of tissues and identification of tumor region in T1, T2, and FLAIR brain images using optimization and clustering techniques
  publication-title: Int J Imag Syst Technol
  doi: 10.1002/ima.22108
– volume: 48
  start-page: 2710
  issue: 8
  year: 2015
  ident: 10.1016/j.asej.2016.03.016_b0135
  article-title: NCM: neutrosophic c-means clustering algorithm
  publication-title: Pattern Recogn
  doi: 10.1016/j.patcog.2015.02.018
– start-page: 143
  year: 2003
  ident: 10.1016/j.asej.2016.03.016_b0130
  article-title: A unifying field in logics: neutrosophic logic. Neutrosophy, neutrosophic set, neutrosophic probability
– start-page: 193
  year: 2014
  ident: 10.1016/j.asej.2016.03.016_b0145
  article-title: Neutrosophic sets and fuzzy C-means clustering for improving CT liver image segmentation
SSID ssib044728585
Score 2.3880227
Snippet It is really important to diagnose jaw tumor in its early stages to improve its prognosis. A differential diagnosis could be performed using X-ray images;...
SourceID doaj
crossref
elsevier
SourceType Open Website
Enrichment Source
Index Database
Publisher
StartPage 697
SubjectTerms Automatic segmentation
Fuzzy C-Means clustering algorithm
Jaw panoramic X-ray image
Neutrosophy
Title A hybrid Fuzzy C-Means and Neutrosophic for jaw lesions segmentation
URI https://dx.doi.org/10.1016/j.asej.2016.03.016
https://doaj.org/article/c993fbd5414c49f5b0a731e7c8418854
Volume 9
WOSCitedRecordID wos000454548400023&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources
  issn: 2090-4479
  databaseCode: M~E
  dateStart: 20100101
  customDbUrl:
  isFulltext: true
  dateEnd: 99991231
  titleUrlDefault: https://road.issn.org
  omitProxy: false
  ssIdentifier: ssib044728585
  providerName: ISSN International Centre
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV09T8MwELVQxcCCQIAoX_LAhiKS2KnjsZRWLK0YQOpm2Y4PWpWA2hTUDvx2zklaZYKFJVEix47urNy7-PweIddxAlowSPDr55cZM-gEmmsbSGsgYdwBxLoUmxCjUToey8eG1JevCavogSvD3VoMoGAyr1ZtuYTEhNh35IRNeZSmSckEiqinkUzhTOJcxH7ByyvLhTIM8FrWO2aq4i6MEFNf19UpGU692HkjKpXk_Y3g1Ag4gwOyXyNF2q3e8JDsuPyI3Hfp68pvsqKD5Xq9or1g6DDYUJ1ndOSWxbyUJZhYiliUTvUXnTn_O2xBF-7lrd5mlB-T50H_qfcQ1EIIgeVpWAQmBgYSM6UwSw3HDCsSgMDKaRdJT0cvNYIgbuMYjRWBQLeAkZpl1jDmEEKxE9LK33N3SiiiJyMia8FCyJ3oSJtpjJMxNk4MYr02iTaGULZmCfdiFTO1KQebKm885Y2nQqbw1CY322c-Ko6MX1vfeftuW3p-6_IGel3VXld_eb1Nko13VA0VKgiAXU1-GfzsPwY_J3vYZVoVtVyQVjFfukuyaz-LyWJ-VU5EPA6_-z_4WeFK
linkProvider Directory of Open Access Journals
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+hybrid+Fuzzy+C-Means+and+Neutrosophic+for+jaw+lesions+segmentation&rft.jtitle=Ain+Shams+Engineering+Journal&rft.au=Mutasem+K.+Alsmadi&rft.date=2018-12-01&rft.pub=Elsevier&rft.issn=2090-4479&rft.volume=9&rft.issue=4&rft.spage=697&rft.epage=706&rft_id=info:doi/10.1016%2Fj.asej.2016.03.016&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_c993fbd5414c49f5b0a731e7c8418854
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2090-4479&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2090-4479&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2090-4479&client=summon