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Feasibility of automated planning for whole‐brain radiation therapy using deep learning
PURPOSE: The purpose of this study was to develop automated planning for whole‐brain radiation therapy (WBRT) using a U‐net‐based deep‐learning model for predicting the multileaf collimator (MLC) shape bypassing the contouring processes. METHODS: A dataset of 55 cases, including 40 training sets, fi...
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| Yayımlandı: | J Appl Clin Med Phys |
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| Asıl Yazarlar: | , , , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
John Wiley and Sons Inc.
2020
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7856520/ https://ncbi.nlm.nih.gov/pubmed/33340391 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/acm2.13130 |
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