Effect of tuning the regularization strength on generated DVCs.

<p>Decreasing allows for more changes on the original image. A. We start with a healthy image and generate DR DVCs with decreasing . More lesions are generated as decreases (light green arrows). B. We start with a DR image and generate healthy DVCs with different values. Some traces of the les...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Indu Ilanchezian (21369996) (author)
مؤلفون آخرون:	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)
منشور في:	2025
الموضوعات:	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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Effect of tuning the regularization strength on generated DVCs.

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