Search Results - Semi-automated segmentation algorithms*

Clinical validation of a semi‐automated segmentation algorithm for target volume definition on planning CT and CBCT in stereotactic body radiotherapy (SBRT) for peripheral lung lesions by Mohamed, Ahmed Allam, Risse, Kathrin, Schmitz, Laura, Schlenter, Marsha, Chughtai, Ahmed, Ivanciu, Maria, Eble, Michael J.

“… In this study, we aimed to evaluate the interobserver variability during SBRT and its dosimetric impact, as well as to introduce a semi…”
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Volumetric assessment of unaffected parenchyma and Wilms’ tumours: analysis of response to chemotherapy and surgery using a semi‐automated segmentation algorithm in children with renal neoplasms by Rickard, Mandy, Fernandez, Nicolas, Blais, Anne‐Sophie, Shalabi, Ahmed, Amirabadi, Afsaneh, Traubici, Jeffrey, Lee, Wayne, Gleason, Joseph, Brzezinski, Jack, Lorenzo, Armando J.

“…Objective To present our proof of concept with semi‐automatic image recognition/segmentation technology for calculation of tumour/parenchyma volume…”
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Machine‐assisted interpolation algorithm for semi‐automated segmentation of highly deformable organs by Luximon, Dishane C., Abdulkadir, Yasin, Chow, Phillip E., Morris, Eric D., Lamb, James M.

“…Purpose Accurate and robust auto‐segmentation of highly deformable organs (HDOs), for example, stomach or bowel, remains an outstanding problem due to these organs…”
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A New Semi-automated Algorithm for Volumetric Segmentation of the Left Ventricle in Temporal 3D Echocardiography Sequences by Krishnaswamy, Deepa, Hareendranathan, Abhilash R., Suwatanaviroj, Tan, Boulanger, Pierre, Becher, Harald, Noga, Michelle, Punithakumar, Kumaradevan

“… Methods We propose a semi-automated segmentation algorithm for the delineation of the left ventricle in temporal 3D echocardiography sequences…”
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Validation of an active shape model-based semi-automated segmentation algorithm for the analysis of thigh muscle and adipose tissue cross-sectional areas by Kemnitz, Jana, Eckstein, Felix, Culvenor, Adam G., Ruhdorfer, Anja, Dannhauer, Torben, Ring-Dimitriou, Susanne, Sänger, Alexandra M., Wirth, Wolfgang

“… Longitudinal changes observed in the training intervention were compared between semi-automated and manual segmentations…”
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Assessment of glioma response to radiotherapy using multiple MRI biomarkers with manual and semi-automated segmentation algorithms by Yu, Yang, Lee, Dong-Hoon, Peng, Shin-Lei, Zhang, Kai, Zhang, Yi, Jiang, Shanshan, Zhao, Xuna, Heo, Hye-Young, Wang, Xiangyang, Chen, Min, Lu, Hanzhang, Li, Haiyun, Zhou, Jinyuan

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Development of a radiobiological evaluation tool to assess the expected clinical impacts of contouring accuracy between manual and semi-automated segmentation algorithms by Kim, Yusung, Patwardhan, Kaustubh Anil, Beichel, Reinhard R, Smith, Brian J., Mart, Christopher, Plichta, Kristin A., Chang, Tangel, Sonka, Milan, Graham, Michael M., Magnotta, Vince, Casavant, Thomas, Xia, Junyi, Buatti, John M.

“…RADEval is a tool developed to assess the expected clinical impact of contouring accuracy when comparing manual contouring and semi-automated segmentation…”
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An unsupervised semi-automated pulmonary nodule segmentation method based on enhanced region growing by Ren, He, Zhou, Lingxiao, Liu, Gang, Peng, Xueqing, Shi, Weiya, Xu, Huilin, Shan, Fei, Liu, Lei

“… A region growing based semi-automated pulmonary nodule segmentation algorithm (ReGANS) was developed with three improvements…”
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AI-based chest CT semantic segmentation algorithm enables semi-automated lung cancer surgery planning by recognizing anatomical variants of pulmonary vessels by Chen, Xiuyuan, Xu, Hao, Qi, Qingyi, Sun, Chao, Jin, Jian, Zhao, Heng, Wang, Xun, Weng, Wenhan, Wang, Shaodong, Sui, Xizhao, Wang, Zhenfan, Dai, Chenyang, Peng, Muyun, Wang, Dawei, Hao, Zenghao, Huang, Yafen, Wang, Xiang, Duan, Liang, Zhu, Yuming, Hong, Nan, Yang, Fan

“…)-based chest CT semantic segmentation algorithm that recognizes pulmonary vessels on lobular or segmental levels…”
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A Practical Guide to Manual and Semi-Automated Neurosurgical Brain Lesion Segmentation by Jain, Raunak, Lee, Faith, Luo, Nianhe, Hyare, Harpreet, Pandit, Anand S.

“…The purpose of the article is to provide a practical guide for manual and semi-automated image segmentation of common neurosurgical cranial lesions, namely meningioma, glioblastoma multiforme (GBM…”
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A Semi-Automated Algorithm for Segmentation of the Left Atrial Appendage Landing Zone: Application in Left Atrial Appendage Occlusion Procedures by A, Pakizeh Moghadam

“…” from echocardiographic images. Objective: We aimed to develop an algorithm for automated segmentation of the LAA landing zone from 3D echocardiographic images of the LAA…”
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A framework for quality control of corpus callosum segmentation in large-scale studies by Herrera, William Garcia, Pereira, Mariana, Bento, Mariana, Lapa, Aline Tamires, Appenzeller, Simone, Rittner, Leticia

“…[Display omitted] •A framework for automatic quality control of corpus callosum segmentations is proposed based on a machine learning SVM technique…”
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A Novel 4D Semi-Automated Algorithm for Volumetric Segmentation in Echocardiography by Krishnaswamy, Deepa, Hareendranathan, Abhilash Rakkunedeth, Suwatanaviroj, Tan, Boulanger, Pierre, Becher, Harald, Noga, Michelle, Punithakumar, Kumaradevan

“…Segmentation of the left ventricle (LV) in temporal 3D echocardiography sequences poses a challenge…”
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Evaluation of automated and semi-automated skull-stripping algorithms using similarity index and segmentation error by Lee, Jong-Min, Yoon, Uicheul, Nam, Sang Hee, Kim, Jung-Hyun, Kim, In-Young, Kim, Sun I.

“… In this paper, we evaluated the accuracy and efficiency of both automated and semi-automated skull-stripping methods…”
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Semi-automated evaluation of trabecular meshwork and schlemm canal imaged with OCT in children with normal eyes vs. primary congenital glaucoma by Wang, Bo, Gregston, Alden P., Naithani, Rizul, Alvarez, Samuel, Sigireddi, Rohini R., Freedman, Sharon F.

“…). This study aims to evaluate a semi-automated segmentation algorithm of SC and TM in pediatric patients scanned using overhead-mounted optical coherence tomography (OCT…”
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Elaboration of a semi-automated algorithm for brain arteriovenous malformation segmentation: initial results by Clarençon, Frédéric, Maizeroi-Eugène, Franck, Bresson, Damien, Maingreaud, Flavien, Sourour, Nader, Couquet, Claude, Ayoub, David, Chiras, Jacques, Yardin, Catherine, Mounayer, Charbel

“…) on 3D rotational angiography (3D-RA) using a semi-automated segmentation algorithm. Materials and methods Data from 3D-RA of 15 patients (8 males, 7 females…”
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A high-throughput semi-automated bone segmentation workflow for murine hindpaw micro-CT datasets by Kenney, H. Mark, Peng, Yue, Chen, Kiana L, Ajalik, Raquel, Schnur, Lindsay, Wood, Ronald W, Schwarz, Edward M, Awad, Hani A

“… to the intensive effort of manual segmentation. Herein, we introduce a high-throughput, user-friendly, and semi-automated method for segmentation of murine hindpaw μCT datasets. MethodsIn vivo μ…”
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Feasibility of a semi-automated contrast-oriented algorithm for tumor segmentation in retrospectively gated PET images: phantom and clinical validation by Carles, Montserrat, Fechter, Tobias, Nemer, Ursula, Nanko, Norbert, Mix, Michael, Nestle, Ursula, Schaefer, Andrea

“… The aim of this work was to evaluate a semi-automated contrast-oriented algorithm (COA) for PET tumor segmentation adapted to retrospectively gated (4D) images…”
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A semi-automated quantitative comparison of metal artifact reduction in photon-counting computed tomography by energy-selective thresholding by Do, T. D., Sawall, S., Heinze, S., Reiner, T., Ziener, C. H., Stiller, W., Schlemmer, H. P., Kachelrieß, M., Kauczor, H. U., Skornitzke, S.

“… Metal artifacts were quantified by a semi-automated segmentation algorithm, calculating artifact volumes, means and standard deviations of CT numbers…”
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Clinical validation of an algorithm for rapid and accurate automated segmentation of intracoronary optical coherence tomography images by Chatzizisis, Yiannis S., Koutkias, Vassilis G., Toutouzas, Konstantinos, Giannopoulos, Andreas, Chouvarda, Ioanna, Riga, Maria, Antoniadis, Antonios P., Cheimariotis, Grigorios, Doulaverakis, Charalampos, Tsampoulatidis, Ioannis, Bouki, Konstantina, Kompatsiaris, Ioannis, Stefanadis, Christodoulos, Maglaveras, Nicos, Giannoglou, George D.

“… Using certain lumen size and lumen shape characteristics, the fully- and semi-automated segmentation algorithms were validated over manual…”
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