CT-to-Toxicity: A Proof-of-Concept AI Pipeline for Automatic Segmentation, Dose Estimation, and Toxicity Prediction in Breast Cancer Radiotherapy
In breast cancer radiotherapy, clinicians must deliver an adequate tumor dose while protecting surrounding healthy organs. This balance remains difficult: planning is often limited by manual contours, the loss of spatial information, and simplified toxicity indices that do not fully exploit spatial...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2026-01-01
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| coleção: | IEEE Access |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/11456481/ |
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