Dosimetric impact of deep learning-based CT auto-segmentation on radiation therapy treatment planning for prostate cancer
Abstract Background The evaluation of automatic segmentation algorithms is commonly performed using geometric metrics. An analysis based on dosimetric parameters might be more relevant in clinical practice but is often lacking in the literature. The aim of this study was to investigate the impact of...
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| Автори: | , , , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
BMC
2022-01-01
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| Серія: | Radiation Oncology |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1186/s13014-022-01985-9 |
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