CT‐based multi‐organ segmentation using a 3D self‐attention U‐net network for pancreatic radiotherapy

Purpose Segmentation of organs‐at‐risk (OARs) is a weak link in radiotherapeutic treatment planning process because the manual contouring action is labor‐intensive and time‐consuming. This work aimed to develop a deep learning‐based method for rapid and accurate pancreatic multi‐organ segmentation that can expedite the treatment planning process. Methods We retrospectively investigated one hundred patients with computed tomography (CT)...