Dual-Flow Transformation Network for Deformable Image Registration with Region Consistency Constraint. (arXiv:2112.02249v2 [cs.CV] UPDATED)

Deformable image registration is able to achieve fast and accurate alignment
between a pair of images and thus plays an important role in many medical image
studies. The current deep learning (DL)-based image registration approaches
directly learn the spatial transformation from one image to another by
leveraging a convolutional neural network, requiring ground truth or similarity
metric. Nevertheless, these methods only use a global similarity energy
function to evaluate the similarity of a pair of images, which ignores the
similarity …

arxiv cv flow image network registration transformation