A CycleGAN-based counterfactual framework translates diseased retinal images to healthy-looking counterparts, and a new CCAS metric scores spatial agreement between the translation difference maps and classifier saliency.
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Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification
A CycleGAN-based counterfactual framework translates diseased retinal images to healthy-looking counterparts, and a new CCAS metric scores spatial agreement between the translation difference maps and classifier saliency.