A diffusion-based synthetic data pipeline using inpainting and OOD post-selection improves long-tail skin lesion classification on ISIC2019, delivering over 28% accuracy gain on the rarest class.
Monica: Benchmarking on long-tailed medical image classification
3 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 3representative citing papers
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.
PriOrGen uses prior-anchored modules to debias visual encoding and textual decoding for improved long-tailed multi-organ pathology report generation.
citing papers explorer
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Synthetic Data Generation for Long-Tail Medical Image Classification: A Case Study in Skin Lesions
A diffusion-based synthetic data pipeline using inpainting and OOD post-selection improves long-tail skin lesion classification on ISIC2019, delivering over 28% accuracy gain on the rarest class.
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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.
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Prior-Anchored Debiasing for Long-Tailed Multi-Organ Pathology Report Generation
PriOrGen uses prior-anchored modules to debias visual encoding and textual decoding for improved long-tailed multi-organ pathology report generation.