Evaluation of a highly refined prediction model in knowledge-based volumetric modulated arc therapy planning for cervical cancer
Abstract
Background and purpose To explore whether a highly refined dose volume histograms (DVH) prediction model can improve the accuracy and reliability of knowledge-based volumetric modulated arc therapy (VMAT) planning for cervical cancer. Methods and materials The proposed model underwent repeated refining through progressive training until the training samples increased from initial 25 prior plans up to 100 cases. The estimated DVHs derived from...
Paper Details
Title
Evaluation of a highly refined prediction model in knowledge-based volumetric modulated arc therapy planning for cervical cancer
Published Date
Mar 22, 2021
Journal
Volume
16
Issue
1
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