A comprehensive multifaceted technical evaluation framework for implementation of auto-segmentation models in radiotherapy
Abstract Background Manual contouring of organs at risk in radiotherapy is time-consuming, taking 1-4 hours per case. Automatic segmentation using deep learning has emerged as a promising solution, with many commercial options now available. However, these methods require rigorous validation before...
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| Автори: | , , , , , , , , , , , , , , , , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Nature Portfolio
2025-07-01
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| Серія: | Communications Medicine |
| Онлайн доступ: | https://doi.org/10.1038/s43856-025-01048-6 |
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