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Applying pytorch toolkit to plan optimization for circular cone based robotic radiotherapy.

Bin LiangRan WeiJianghu ZhangYongbao LiTao YangShouping XuKe ZhangWenlong XiaBin GuoBo LiuFugen ZhouQiuwen WuJianrong Dai
Published in: Radiation oncology (London, England) (2022)
In summary, this first attempt of applying deep learning framework to the robotic radiotherapy plan optimization is promising and has the potential to be used clinically.
Keyphrases
  • deep learning
  • early stage
  • locally advanced
  • minimally invasive
  • radiation therapy
  • radiation induced
  • robot assisted
  • rectal cancer
  • squamous cell carcinoma
  • machine learning