2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2026
EA-LiteUNet: An Edge-Adaptive and Resource-Efficient U-Net for Boundary-Sensitive Dermoscopic Image Segmentation
Wang Jiangtao, Nur Intan Raihana Ruhaiyem, Fu Panpan +2
Accurate boundary delineation remains a persistent challenge in dermoscopic image segmentation because of blurred lesion margins, heterogeneous textures, and complex background art…
eess.IV2025★ 2 cited
A Comprehensive Review of U-Net and Its Variants: Advances and Applications in Medical Image Segmentation
Wang Jiangtao, Nur Intan Raihana Ruhaiyem, Fu Panpan
Medical images often exhibit low and blurred contrast between lesions and surrounding tissues, with considerable variation in lesion edges and shapes even within the same disease,…