The aim of medical image fusion is to integrate complementary information in multi-modality medical images into an informative fused image which is pivotal for assistance in clinical diagnosis. Since medical images in different modalities always have great variety of characteristics (such as resolution and functional information), the fused images obtained from traditional methods would be blurred in details or loss of information in some degree. To solve these problems, we propose a novel deep learning-based multi-resolution medical image fusi...
