Study of the prediction of gamma passing rate in dosimetric verification of intensity-modulated radiotherapy using machine learning models based on plan complexity

Study of the prediction of gamma passing rate in dosimetric verification of intensity-modulated radiotherapy using machine learning models based on plan complexity

ObjectiveTo predict the gamma passing rate (GPR) in dosimetric verification of intensity-modulated radiotherapy (IMRT) using three machine learning models based on plan complexity and find the best prediction model by comparing and evaluating the prediction ability of the regression and classificati...

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Bibliographic Details
Main Authors: Shizhen Bin, Ji Zhang, Luyao Shen, Junjun Zhang, Qi Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Oncology
Subjects:
machine learning
plan complexity
IMRT QA
dosimetric verification prediction
gamma passing rate
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1094927/full

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