Virtual Patient-Specific Quality Assurance of IMRT Using UNet++: Classification, Gamma Passing Rates Prediction, and Dose Difference Prediction

The dose verification in radiotherapy quality assurance (QA) is time-consuming and places a heavy workload on medical physicists. To provide a clinical tool to perform patient specific QA accurately, the UNet++ is investigated to classify failed or pass fields (the GPR lower than 85% is considered “...

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Detalles Bibliográficos
Autores principales: Huang, Ying, Pi, Yifei, Ma, Kui, Miao, Xiaojuan, Fu, Sichao, Chen, Hua, Wang, Hao, Gu, Hengle, Shao, Yan, Duan, Yanhua, Feng, Aihui, Wang, Jiyong, Cai, Ruxin, Zhuo, Weihai, Xu, Zhiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8330420/
https://www.ncbi.nlm.nih.gov/pubmed/34354949
http://dx.doi.org/10.3389/fonc.2021.700343

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8330420/
https://www.ncbi.nlm.nih.gov/pubmed/34354949
http://dx.doi.org/10.3389/fonc.2021.700343

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