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

OBJECTIVE: To 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 classifica...

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Detalles Bibliográficos
Autores principales: Bin, Shizhen, Zhang, Ji, Shen, Luyao, Zhang, Junjun, Wang, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10401596/
https://www.ncbi.nlm.nih.gov/pubmed/37546404
http://dx.doi.org/10.3389/fonc.2023.1094927

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10401596/
https://www.ncbi.nlm.nih.gov/pubmed/37546404
http://dx.doi.org/10.3389/fonc.2023.1094927

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