Open access
Aug 2026
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.
M. Cheng, C. Liu, L. Gu
· medRxiv · 0 citations