MedDiffuseMix uses classifier saliency maps to restrict diffusion-based mixing to non-diagnostic areas of medical images, yielding accuracy, F1, and AUC gains over standard, Mixup, and diffusion baselines on four public datasets.
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MedDiffuseMix: Preserving Diagnostic Evidence with Saliency-Aware Diffusion Medical Image Data Augmentatio
MedDiffuseMix uses classifier saliency maps to restrict diffusion-based mixing to non-diagnostic areas of medical images, yielding accuracy, F1, and AUC gains over standard, Mixup, and diffusion baselines on four public datasets.