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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Dades bibliogràfiques

Autors principals:	Kah Seng Lew, Clifford Ghee Ann Chua, Calvin Wei Yang Koh, James Cheow Lei Lee, Sung Yong Park, Hong Qi Tan
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2023-01-01
Col·lecció:	Frontiers in Oncology
Matèries:	machine learning patient specific quality assurance portal dosimetry log file radiotherapy
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fonc.2022.1096838/full
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