An integrated solution of deep reinforcement learning for automatic IMRT treatment planning in non-small-cell lung cancer.

Wang, Hanlin; Bai, Xue; Wang, Yajuan; Lu, Yanfei; Wang, Binbing.

Afiliação

Wang H; Department of Radiation Physics, Zhejiang Key Laboratory of radiation Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, Zhejiang, China.
Bai X; Department of Radiation Physics, Zhejiang Key Laboratory of radiation Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, Zhejiang, China.
Wang Y; Department of Radiation Physics, Zhejiang Key Laboratory of radiation Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, Zhejiang, China.
Lu Y; Department of Radiation Physics, Zhejiang Key Laboratory of radiation Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, Zhejiang, China.
Wang B; Department of Radiation Physics, Zhejiang Key Laboratory of radiation Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, Zhejiang, China.

Front Oncol ; 13: 1124458, 2023.

Article em En | MEDLINE | ID: mdl-36816929

Palavras-chave

automatic treatment planning; deep reinforcement learning; integrated solution; intensity-modulated radiation therapy; multi-objectives adjustment policy network

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article