Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation

The proposed CMEMS framework leverages two mutual learning models to excavate implicit information from unlabeled data at multiple granularities, enabling effective exemplar-based medical image segmentation with limited supervision.