Fast diffusion-based counterfactuals for shortcut removal and generation
Shortcut learning is when a model–eg a cardiac disease classifier–exploits correlations
between the target label and a spurious shortcut feature, eg a pacemaker, to predict the …
between the target label and a spurious shortcut feature, eg a pacemaker, to predict the …
Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis Using Slice Discovery Methods
Abstract Machine learning models have achieved high overall accuracy in medical image
analysis. However, performance disparities on specific patient groups pose challenges to …
analysis. However, performance disparities on specific patient groups pose challenges to …