IMRT QA using machine learning: A multi‐institutional validation

PURPOSE: To validate a machine learning approach to Virtual intensity‐modulated radiation therapy (IMRT) quality assurance (QA) for accurately predicting gamma passing rates using different measurement approaches at different institutions. METHODS: A Virtual IMRT QA framework was previously develope...

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Detalles Bibliográficos
Autores principales: Valdes, Gilmer, Chan, Maria F., Lim, Seng Boh, Scheuermann, Ryan, Deasy, Joseph O., Solberg, Timothy D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Radiation Oncology Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5874948/
https://www.ncbi.nlm.nih.gov/pubmed/28815994
http://dx.doi.org/10.1002/acm2.12161

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5874948/
https://www.ncbi.nlm.nih.gov/pubmed/28815994
http://dx.doi.org/10.1002/acm2.12161

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