Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies.

NCR-Net, a CNN for simultaneous image registration and unsupervised non-correspondence segmentation, is presented. Experimental results show the network's ability to segment non-correspondence regions in an unsupervised manner and its robust registration performance even in the presence of large pathologies.