Impact of deep learning model uncertainty on manual corrections to auto-segmentation in prostate cancer radiotherapy

Viktor Rogowski, Angelica Svalkvist, Matteo Maspero +12

Background: Deep learning (DL)-based organ segmentation is increasingly used in radiotherapy, yet voxel-wise DL uncertainty maps are rarely presented to clinicians. Purpose: This s…