Producing densely annotated data is a difficult and tedious task for medical imaging applications. To address this problem, we propose novel approach to generate supervision semi-supervised semantic segmentation. We argue that visually similar regions between labeled unlabeled images likely contain the same semantics therefore should share their label. Following thought, use small number of as ...
