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Evaluation of dose-volume histogram prediction for organ-at risk and planning target volume based on machine learning

Abstract The purpose of this work is to evaluate the performance of applying patient dosimetric information induced by individual uniform-intensity radiation fields in organ-at risk (OAR) dose-volume histogram (DVH) prediction, and extend to DVH prediction of planning target volume (PTV). Ninety nas...

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Autores principales: Sheng xiu Jiao, Ming li Wang, Li xin Chen, Xiao-wei Liu
Formato: Artigo
Lenguaje:Inglês
Publicado: Nature Portfolio 2021-02-01
Colección:Scientific Reports
Acceso en línea:https://doi.org/10.1038/s41598-021-82749-5
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