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
machine learning
endothelial cells
locally advanced
physical activity
pluripotent stem cells
young adults
childhood cancer