LCC-Net: A Lightweight Cross-Consistency Network for Semisupervised Cardiac MR Image Segmentation

Figure 1

Overview of our LCC-Net for semisupervised segmentation. The network contains one supervised decoder and two unsupervised decoders. While the supervised decoder is trained with the labeled data, the two auxiliary decoders are trained with both labeled data and unlabeled data using unsupervised consistency losses. We inject dropout perturbation and noise perturbation in the feature space and inject cutting and mixing perturbation in the input image space.