Self-supervised Learning of Dense Hierarchical Representations for Medical Image Segmentation

Eytan Kats, Jochen G. Hirsch, Mattias P. Heinrich

This paper demonstrates a self-supervised framework for learning voxel-wise coarse-to-fine representations tailored for dense downstream tasks. Our approach stems from the observat…