most citedImproving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2024

EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation

Kudaibergen Abutalip, Numan Saeed, Ikboljon Sobirov +3

Deploying deep learning (DL) models in medical applications relies on predictive performance and other critical factors, such as conveying trustworthy predictive uncertainty. Uncer…

eess.IV2023★ 2 cited

Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training

Kudaibergen Abutalip, Numan Saeed, Mustaqeem Khan +1

Variability in staining protocols, such as different slide preparation techniques, chemicals, and scanner configurations, can result in a diverse set of whole slide images (WSIs).…