4 citations · 4 across the 1 of their papers we have counts for
3 papers
eess.IV2024★ 4 cited
ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement
Mengqi Lei, Haochen Wu, Xinhua Lv +1
Medical image segmentation plays an important role in clinical decision making, treatment planning, and disease tracking. However, it still faces two major challenges. On the one h…
cs.CV2024
FIRE: Robust Detection of Diffusion-Generated Images via Frequency-Guided Reconstruction Error
Beilin Chu, Xuan Xu, Xin Wang +3
The rapid advancement of diffusion models has significantly improved high-quality image generation, making generated content increasingly challenging to distinguish from real image…
cs.CV2024
EPPS: Advanced Polyp Segmentation via Edge Information Injection and Selective Feature Decoupling
Mengqi Lei, Xin Wang
Accurate segmentation of polyps in colonoscopy images is essential for early-stage diagnosis and management of colorectal cancer. Despite advancements in deep learning for polyp se…