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Automatic end-to-end VMAT treatment planning for rectal cancers.

Kai HuangChristine ChungEthan B LudmirLifei ZhangConstance A OwensJean Gumma-De La VegaJack DuryeaYao ZhaoXinru ChenDavid FuentesCarlos E CardenasTina Marie BriereSam BeddarLaurence E CourtPrajnan Das
Published in: Journal of applied clinical medical physics (2024)
This study demonstrated that the VMAT treatment planning technique for rectal cancer can be automated to generate clinically acceptable and safe plans with minimal human interventions.
Keyphrases
  • rectal cancer
  • deep learning
  • endothelial cells
  • machine learning
  • locally advanced
  • induced pluripotent stem cells
  • health insurance
  • squamous cell carcinoma
  • pluripotent stem cells
  • radiation therapy
  • young adults