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M. Cheng

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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 · 0 citations

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