A latent diffusion approach to visual attribution in medical imaging.

(Examples of these overlooked regions might be micro tumors in other parts of an organ that may not, in themselves, have a highly significant effect on the supervised decision boundary 2 ; it has been shown, especially for medical imaging DNNs, that such models typically disregard a significant fraction of these regions, which are essentially background evidence in relation to the underlying pathological condition 23 ).

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