BioinformaticsCancer ResearchPeer-reviewed
Counterfactual Diffusion Models for Interpretable Explanations of Artificial Intelligence Models in Pathology
Laura Žigutytė, Tim Lenz, Tianyu Han…·Jakob Nikolas Kather
MoPaDi generates counterfactual explanations for histopathology images to reveal morphological features driving classifier predictions, improving interpretability in digital pathology.