Cross‐fraction prior learning for scalable organ‐at‐risk segmentation in abdominal MR‐guided radiotherapy

Abstract

Manual organ‐at‐risk (OAR) delineation takes 20–40 min per case, a major bottleneck within the 50–90 min treatment window of abdominal MR‐guided adaptive radiotherapy (MRgRT). Most deep learning systems adopt single‐fraction approaches that discard valuable temporal context from prior treatment fractions.