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Taxonomy: IM/TH- Image Segmentation Techniques: Modality: CT
|PO-GePV-M-167||PTV Auto Contouring for Prostate and Nodes Utilizing Deep Learning Artificial Intelligence|
H Yao*, J Chang, J Baker, Northwell Health and Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Lake Success, New York
|PO-GePV-M-169||Prior Information Guided Auto-Contouring of Breast Tumor Bed for Post-Operative Breast Cancer Radiotherapy|
X Xie*, H Yan, J Dai, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
|TH-E-TRACK 4-1||Few Shot Meta Learner for Post-Operative Prostate CTV Style Adaptation|
A Balagopal*, D Nguyen, T Bai, H Morgan, M Dohopolski, N Desai, A Garant, R Hannan, S Jiang, University of Texas Southwestern Medical Center, Dallas, TX
|TH-IePD-TRACK 3-2||Investigation of Clinical Target Volume Segmentation for Whole Breast Irradiation Using 3D Convolutional Neural Network and the Shape Regularization Model Without the Prior Information of the Target-Side Breast|
M Oya1*, S Sugimoto2, (1) Juntendo University Graduate School of Medicine, Tokyo, JP, (2) Juntendo University, Tokyo, JP
|TH-IePD-TRACK 3-5||Intentional Deep Overfit Learning (IDOL): An Application to CT Segmentation-Based Daily Adaptive Radiotherapy|
Byongsu Choi1,4, Inkyung Park1,5, Jaehee Chun1,4, Sven Olberg1,2,3, Jinsung Kim4,Yang Kyun Park1, Mu-han Lin1, Bin Cai1, Steve Jiang1, Justin C. Park1, (1) Department of Radiation Oncology, The University of Texas Southwestern Medical Center (2) Department of Radiation Oncology, Washington University in St. Louis, St Louis, MO 63110 (3) Department of Biomedical Engineering, Washington University in St. Louis, St Louis, MO 63110 (4) Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea (5) Department of Integrative Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea
|TH-IePD-TRACK 3-6||Deep Learning Neural Network for Automatic Delineation of Para-Aortic Clinical Target Volume|
W Lu*, P DCunha, W Chi, M Chen, L Ma, M Kazemimoghadam, Z Yang, X Gu, K Albuquerque, University of Texas Southwestern Medical Center, Dallas, TX