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

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

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.

Afiliação

Huang Y; Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Pi Y; Department of Radiotherapy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Ma K; Varian Medical Systems (China), Beijing, China.
Miao X; Department of Hematology, Western Theater General Hospital, Chengdu, China.
Fu S; Department of Hematology, Western Theater General Hospital, Chengdu, China.
Chen H; Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Wang H; Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Gu H; Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Shao Y; Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Duan Y; Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Feng A; Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Wang J; PingAn Health Technology Co. Ltd, Shanghai, China.
Cai R; Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Zhuo W; Key Laboratory of Nuclear Physics and Ion Beam Application Ministry of Education, Fudan University, Shanghai, China.
Xu Z; Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.

Front Oncol ; 11: 700343, 2021.

Article em En | MEDLINE | ID: mdl-34354949

Palavras-chave

deep learning; dose difference; prediction model; quality assurance; radiotherapy

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

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