Deep reinforcement learning for treatment planning in high-dose-rate cervical brachytherapy.

Pu, Gang; Jiang, Shan; Yang, Zhiyong; Hu, Yuanjing; Liu, Ziqi

Pu, Gang; Jiang, Shan; Yang, Zhiyong; Hu, Yuanjing; Liu, Ziqi.

Afiliação

Pu G; School of Mechanical Engineering, Tianjin University, Tianjin 300350, China. Electronic address: pugang@tju.edu.cn.
Jiang S; School of Mechanical Engineering, Tianjin University, Tianjin 300350, China. Electronic address: shanjmri@tju.edu.cn.
Yang Z; School of Mechanical Engineering, Tianjin University, Tianjin 300350, China. Electronic address: meyang@tju.edu.cn.
Hu Y; Department of Gynecologic Oncology, Tianjin Central Hospital of Genecology and Obstetrics & Affiliated Hospital of Nankai University, Tianjin 300199, China.
Liu Z; School of Mechanical Engineering, Tianjin University, Tianjin 300350, China.

Phys Med ; 94: 1-7, 2022 Feb.

Article em En | MEDLINE | ID: mdl-34959169

Assuntos

Braquiterapia; Neoplasias do Colo do Útero; Algoritmos; Inteligência Artificial; Feminino; Humanos; Dosagem Radioterapêutica; Planejamento da Radioterapia Assistida por Computador; Neoplasias do Colo do Útero/radioterapia

Palavras-chave

Auto-planning; Brachytherapy; Deep reinforcement learning; Treatment planning

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Braquiterapia / Neoplasias do Colo do Útero Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Braquiterapia / Neoplasias do Colo do Útero Idioma: En Ano de publicação: 2022 Tipo de documento: Article