Gaussian filter facilitated deep learning-based architecture for accurate and efficient liver tumor segmentation for radiation therapy
PurposeAddressing the challenges of unclear tumor boundaries and the confusion between cysts and tumors in liver tumor segmentation, this study aims to develop an auto-segmentation method utilizing Gaussian filter with the nnUNet architecture to effectively distinguish between tumors and cysts, enha...
Збережено в:
| Автори: | , , , , , , |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Frontiers Media S.A.
2024-06-01
|
| Серія: | Frontiers in Oncology |
| Предмети: | |
| Онлайн доступ: | https://www.frontiersin.org/articles/10.3389/fonc.2024.1423774/full |
| Теги: |
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|