Real‐world clinical impact of implementing and updating a deep learning‐based automatic contouring system in rectal cancer radiotherapy
Abstract Background Accurate delineation of target volumes and organs‐at‐risk (OARs) is a critical yet labor‐intensive component of rectal cancer radiotherapy. While deep learning (DL)‐based automatic contouring systems are increasingly used to address inter‐observer variability and improve efficiency, artificial intel...