3 citations · 4 across the 7 of their papers we have counts for
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eess.IV2024★ 1 cited
Going Beyond U-Net: Assessing Vision Transformers for Semantic Segmentation in Microscopy Image Analysis
Illia Tsiporenko, Pavel Chizhov, Dmytro Fishman
Segmentation is a crucial step in microscopy image analysis. Numerous approaches have been developed over the past years, ranging from classical segmentation algorithms to advanced…
cs.CV2024★ 3 cited
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images
Dmytro Shvetsov, Joonas Ariva, Marharyta Domnich +2
Deep learning is dramatically transforming the field of medical imaging and radiology, enabling the identification of pathologies in medical images, including computed tomography (…