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Improving Efficiency of Training a Virtual Treatment Planner Network via Knowledge-guided Deep Reinforcement Learning for Intelligent Automatic Treatment Planning of Radiotherapy

PURPOSE: We previously proposed an intelligent automatic treatment planning framework for radiotherapy, in which a virtual treatment planner network (VTPN) is built using deep reinforcement learning (DRL) to operate a treatment planning system (TPS) by adjusting treatment planning parameters in it t...

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Bibliografische gegevens
Gepubliceerd in:Med Phys
Hoofdauteurs: Shen, Chenyang, Chen, Liyuan, Gonzalez, Yesenia, Jia, Xun
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2021
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8058266/
https://ncbi.nlm.nih.gov/pubmed/33432646
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.14712
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