Machine Learning for Auto-Segmentation in Radiotherapy Planning.
Manual segmentation of target structures and organs at risk is a crucial step in the radiotherapy workflow. It has the disadvantages that it can require several hours of clinician time per patient and is prone to inter- and intra-observer variability. Automatic segmentation (auto-segmentation), usin...
| Publicado en: | Clinical Oncology Vol. 34; no. 2; pp. 74 - 89 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
W B Saunders
Feb2022
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| Acceso en línea: | Ver este registro en EBSCOhost |