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Anatomically consistent CNN-based segmentation of organs-at-risk in cranial radiotherapy
Planning of radiotherapy involves accurate segmentation of a large number of organs at risk (OAR), i.e., organs for which irradiation doses should be minimized to avoid important side effects of the therapy. We propose a deep learning method for segmentation of OAR inside the head, from magnetic res...
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| Publicado no: | J Med Imaging (Bellingham) |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Society of Photo-Optical Instrumentation Engineers
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7016364/ https://ncbi.nlm.nih.gov/pubmed/32064300 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.7.1.014502 |
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