RapidPlan knowledge based planning: iterative learning process and model ability to steer planning strategies
Abstract Purpose To determine if the performance of a knowledge based RapidPlan (RP) planning model could be improved with an iterative learning process, i.e.if plans generated by an RP model could be used as new input to re-train the model and achieve better performance.Methods Clinical VMAT plans from 83 patients presenting with head and neck can