A survey on deep learning in medical image registration: new technologies, uncertainty, evaluation metrics, and beyond

arXiv:2307.15615v3 Announce Type: replace-cross
Abstract: Deep learning technologies have dramatically reshaped the field of medical image registration over the past decade. The initial developments, such as regression-based and U-Net-based networks, established the foundation for deep learning in image registration. Subsequent progress has been made in various aspects of deep learning-based registration, including similarity measures, deformation regularizations, network architectures, and uncertainty estimation. These advancements have not only enriched the field of image registration but have also facilitated its application in a …

abstract arxiv beyond cs.cv deep learning eess.iv evaluation evaluation metrics foundation image medical metrics networks progress registration regression survey technologies type uncertainty