Showing cs.CVShow all
3 papers · 1 filter
cs.CV2026
Morphology-Aware Implicit Super-Resolution Network for Pathological Images
Jiaming Liang, QiHui Han, Haolin Chen +5
Accurate diagnosis in Digital Pathology (DP) relies on high-resolution whole-slide images, yet clinical deployment is often limited by hardware costs. Super-Resolution (SR) offers…
cs.CV2026
S-Diff: Structural Semantic Synergy Diffusion Model for High Fidelity Super Resolution of Pathological Images
Jiaming Liang, QiHui Han, Guangye Ou +6
Digital pathology relies on high-resolution whole slide images for accurate diagnosis, yet limitations in imaging devices, storage, and transmission often make lower-resolution pat…
cs.CV2025
MM-UNet: Morph Mamba U-shaped Convolutional Networks for Retinal Vessel Segmentation
Jiawen Liu, Yuanbo Zeng, Jiaming Liang +5
Accurate detection of retinal vessels plays a critical role in reflecting a wide range of health status indicators in the clinical diagnosis of ocular diseases. Recently, advances…