Learning a Model-Driven Variational Network for Deformable Image Registration
Learning a Model-Driven Variational Network for Deformable Image Registration
Data-driven deep learning approaches to image registration can be less accurate than conventional iterative approaches, especially when training data is limited. To address this issue and meanwhile retain the fast inference speed of deep learning, we propose VR-Net, a novel cascaded variational network for unsupervised deformable image registration. Using a …