LNMBench shows existing noisy-label methods degrade sharply under high and realistic noise in medical images due to class imbalance and domain shifts, and proposes a simple robustness fix.
Robust curriculum learning: from clean label detection to noisy label self-correction, in: Interna- tional conference on learning representations
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Benchmarking Real-World Medical Image Classification with Noisy Labels: Challenges, Practice, and Outlook
LNMBench shows existing noisy-label methods degrade sharply under high and realistic noise in medical images due to class imbalance and domain shifts, and proposes a simple robustness fix.