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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Auteurs principaux: Sheng xiu Jiao, Ming li Wang, Li xin Chen, Xiao-wei Liu
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/92e4c017da9a40e6b823fcd287e42a91
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