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Segmentation of organs‐at‐risks in head and neck CT images using convolutional neural networks
PURPOSE: Accurate segmentation of organs‐at‐risks (OARs) is the key step for efficient planning of radiation therapy for head and neck (HaN) cancer treatment. In the work, we proposed the first deep learning‐based algorithm, for segmentation of OARs in HaN CT images, and compared its performance aga...
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| Publicado no: | Med Phys |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5383420/ https://ncbi.nlm.nih.gov/pubmed/28205307 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.12045 |
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