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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| Автори: | , , , , , , , , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Elsevier
2025-04-01
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| Серія: | Physics and Imaging in Radiation Oncology |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S2405631625000454 |
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