Uncertainty-aware auto-segmentation enables adaptive radiotherapy planning of liver metastases.
PURPOSE Despite remarkable auto-segmentation performance and growing clinical adoption, models frequently fail to generalize beyond the training distribution. Therefore, this study aimed to develop and validate an uncertainty-aware segmentation pipeline that yields high delineation accuracy for liver cancer patients an...