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Automatic multiorgan segmentation in thorax CT images using U‐net‐GAN
PURPOSE: Accurate and timely organs‐at‐risk (OARs) segmentation is key to efficient and high‐quality radiation therapy planning. The purpose of this work is to develop a deep learning‐based method to automatically segment multiple thoracic OARs on chest computed tomography (CT) for radiotherapy trea...
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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.
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6510589/ https://ncbi.nlm.nih.gov/pubmed/30810231 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13458 |
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