More examples comparing SVCs and DVCs.

More examples comparing SVCs and DVCs.

<p>Top two rows show counterfactuals from DR fundus images. Bottom two rows show counterfactuals from healthy images. In all cases, changes in DVCs are more realistic compared to SVCs.</p> <p>(TIF)</p>

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Bibliographic Details
Main Author:	Indu Ilanchezian (21369996) (author)
Other Authors:	Valentyn Boreiko (21369999) (author), Laura Kühlewein (18718849) (author), Ziwei Huang (192096) (author), Murat Seçkin Ayhan (21370002) (author), Matthias Hein (3861562) (author), Lisa Koch (3299613) (author), Philipp Berens (391695) (author)
Published:	2025
Subjects:	Medicine Cell Biology Biotechnology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified retinal imaging based optical coherence tomography imaging based specialties answer counterfactual queries adversarially robust classifiers combining diffusion models retinal image structure resolution medical images create counterfactual images unconditional diffusion model subject &# 8217 method generated counterfactuals meaningful counterfactuals even generated counterfactuals diffusion model meaningful counterfactuals fundus image clinically meaningful ai model real images train ordinary related features patient education necessary disease illustrating answers expert study disease lesions disease categories diabetic retinopathy clinical settings classify healthy classifier guidance chance probability ai algorithm
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