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

HIGHLIGHTS

• who: Hanlin Wang and collaborators from the United States National Kaohsiung University of Science have published the article: An integrated solution of deep reinforcement learning for automatic IMRT treatment planning in non-small-cell lung cancer, in the Journal: (JOURNAL)
• what: In this study, the proposed automated optimization process of SBRT plans was implemented with Eclipse Scripting Application Programming interface (ESAPI) provided by the Eclipse TPS. In this study, a dose prediction module was developed to predict the 3D dose distribution and obtain the patientspecific initial optimization objective parameters. The authors aim to further enhance . . .
  

   

  

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