L. Gu

Imbalance-Aware Robust Representation Learning for Medical Image Binary Classification

Experiments show that IRRL achieves balanced classification performance, with favorable F1-score and Matthews Correlation Coefficient results that reflect improved minority-class recognition quality, and robustness and consistency of the proposed representation learning strategy.