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

•Developed an intelligent treatment planner network via deep reinforcement learning.•The Dueling Double-Deep Q Network is used as the backbone of the proposed method.•Reward strategy based on hybrid equivalent uniform dose objective function.•The constructed network generates better plans than IPSA...

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Veröffentlicht in:	Physica medica 2022-02, Vol.94, p.1-7
Hauptverfasser:	Pu, Gang, Jiang, Shan, Yang, Zhiyong, Hu, Yuanjing, Liu, Ziqi
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Auto-planning Brachytherapy Deep reinforcement learning Female Humans Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Treatment planning Uterine Cervical Neoplasms - radiotherapy
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