ACSGRegNet: A Deep Learning-based Framework for Unsupervised Joint Affine and Diffeomorphic Registration of Lumbar Spine CT via Cross- and Self-Attention Fusion. (arXiv:2208.02642v2 [cs.CV] UPDATED)

Registration plays an important role in medical image analysis. Deep
learning-based methods have been studied for medical image registration, which
leverage convolutional neural networks (CNNs) for efficiently regressing a
dense deformation field from a pair of images. However, CNNs are limited in its
ability to extract semantically meaningful intra- and inter-image spatial
correspondences, which are of importance for accurate image registration. This
study proposes a novel end-to-end deep learning-based framework for
unsupervised affine and diffeomorphic deformable registration, referred as
ACSGRegNet, …

arxiv attention cv deep learning framework fusion learning registration self-attention unsupervised