MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for
Mitigation of Spurious Correlations
MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for
Mitigation of Spurious Correlations
Spurious features associated with class labels can lead image classifiers to rely on shortcuts that don't generalize well to new domains. This is especially problematic in medical settings, where biased models fail when applied to different hospitals or systems. In such cases, data-driven methods to reduce spurious correlations are preferred, …