Semi-supervised medical image segmentation via cross-guidance and feature-level consistency dual regularization schemes.

The proposed DRS-Net enhances the segmentation performance of the datasets with three different medical modalities, where the dual-regularization scheme extracts more generalized representations and solves the overfitting problem. This article is protected by copyright. All rights reserved.