Fig. 2
From: Brain CT registration using hybrid supervised convolutional neural network
Framework of HSCN-Net. We used a simulator to generate synthetic deformation fields and images during training to address the lack of registration gold standards. Large deformations of appropriate proportions were added to the synthetic deformation fields to overcome the challenge of large deformation fields between the images to be registered. HSCN-Net adopts a hybrid supervised loss function that is constituted by the alignment accuracy of the deformation fields and image similarity to improve the registration accuracy and generalization capability of the model