(This repo is no longer up-to-date. Any updates will be at https://github.com/DeepRegNet/DeepReg/) A demo of the re-factored label-driven registration code, based on "Weakly-supervised convolutional neural networks for multimodal image registration"
Currently, the code assumes isotropic image inputs. It is mainly because the displacement regulariser, e.g. bending energy, and the image reading/writing functions also assume isotropic data. This can be adapted to more general cases
Currently, the code assumes isotropic image inputs. It is mainly because the displacement regulariser, e.g. bending energy, and the image reading/writing functions also assume isotropic data. This can be adapted to more general cases