Improvement of deep learning prediction model in patient‐specific QA for VMAT with MLC leaf position map and patient's dose distribution

PURPOSE: Deep learning‐based virtual patient‐specific quality assurance (QA) is a novel technique that enables patient QA without measurement. However, this method could be improved by further evaluating the optimal data to be used as input. Therefore, a deep learning‐based model that uses multileaf...

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Detalles Bibliográficos
Autores principales: Tozuka, Ryota, Kadoya, Noriyuki, Tomori, Seiji, Kimura, Yuto, Kajikawa, Tomohiro, Sugai, Yuto, Xiao, Yushan, Jingu, Keiichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Radiation Oncology Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562023/
https://www.ncbi.nlm.nih.gov/pubmed/37261720
http://dx.doi.org/10.1002/acm2.14055

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562023/
https://www.ncbi.nlm.nih.gov/pubmed/37261720
http://dx.doi.org/10.1002/acm2.14055

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