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Uncertainty-guided pancreatic tumor auto-segmentation with Tversky ensemble

Background and purpose: Pancreatic gross tumor volume (GTV) delineation is challenging due to their variable morphology and uncertain ground truth. Previous deep learning-based auto-segmentation methods have struggled to handle tasks with uncertain ground truth and have not accommodated stylistic cu...

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Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид: Cenji Yu, Skylar S. Gay, Aashish C. Gupta, Rachael M. Martin-Paulpeter, Ethan B. Ludmir, Yao Zhao, Jack Duryea, Xinru Chen, Carlos E. Cardenas, Jinzhong Yang, Albert C. Koong, Tucker J. Netherton, Dong Joo Rhee, Laurence E. Court
Формат: Artigo
Хэл сонгох:Inglês
Хэвлэсэн: Elsevier 2025-04-01
Цуврал:Physics and Imaging in Radiation Oncology
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Онлайн хандалт:http://www.sciencedirect.com/science/article/pii/S2405631625000454
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