Fluence-map generation for prostate intensity-modulated radiotherapy planning using a deep-neural-network

A deep-neural-network (DNN) was successfully used to predict clinically-acceptable dose distributions from organ contours for intensity-modulated radiotherapy (IMRT). To provide the next step in the DNN-based plan automation, we propose a DNN that directly generates beam fluence maps from the organ...

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Detalles Bibliográficos
Autores principales: Lee, Hoyeon, Kim, Hojin, Kwak, Jungwon, Kim, Young Seok, Lee, Sang Wook, Cho, Seungryong, Cho, Byungchul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821767/
https://www.ncbi.nlm.nih.gov/pubmed/31666647
http://dx.doi.org/10.1038/s41598-019-52262-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821767/
https://www.ncbi.nlm.nih.gov/pubmed/31666647
http://dx.doi.org/10.1038/s41598-019-52262-x

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