Seeing What Shouldn’t Be There: Counterfactual GANs for Medical Image Attribution
arXiv:2605.05283v1 Announce Type: new
Abstract: Ascription of an image gives insights into the objects that influence the classification of the whole image or its pixels towards a specific category. These insights help radiologists to visualize deform…