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Prediction of portal dosimetry quality assurance results using log files-derived errors and machine learning techniques

ObjectiveThis work aims to use machine learning models to predict gamma passing rate of portal dosimetry quality assurance with log file derived features. This allows daily treatment monitoring for patients and reduce wear and tear on EPID detectors to save cost and prevent downtime.Methods578 VMAT...

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Principais autores: Kah Seng Lew, Clifford Ghee Ann Chua, Calvin Wei Yang Koh, James Cheow Lei Lee, Sung Yong Park, Hong Qi Tan
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2023-01-01
coleção:Frontiers in Oncology
Assuntos:
machine learning
patient specific quality assurance
portal dosimetry
log file
radiotherapy
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fonc.2022.1096838/full
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