S. C. Chan*

Gradient-Aware for Class-Imbalanced Semi-supervised Medical Image Segmentation

"Class imbalance poses a significant challenge in semi-supervised medical image segmentation (SSLMIS). Existing techniques face problems such as poor performance on tail classes, instability, and slow convergence speed. We propose a novel Gradient-Aware (GA) method, structured on a clear paradigm: i…