1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
XNet v2: Fewer Limitations, Better Results and Greater Universality
Yanfeng Zhou, Lingrui Li, Zichen Wang +3
XNet introduces a wavelet-based X-shaped unified architecture for fully- and semi-supervised biomedical segmentation. So far, however, XNet still faces the limitations, including p…
eess.IV2024★ 1 cited
Representing Topological Self-Similarity Using Fractal Feature Maps for Accurate Segmentation of Tubular Structures
Jiaxing Huang, Yanfeng Zhou, Yaoru Luo +3
Accurate segmentation of long and thin tubular structures is required in a wide variety of areas such as biology, medicine, and remote sensing. The complex topology and geometry of…
cs.CV2023
Robust Source-Free Domain Adaptation for Fundus Image Segmentation
Lingrui Li, Yanfeng Zhou, Ge Yang
Unsupervised Domain Adaptation (UDA) is a learning technique that transfers knowledge learned in the source domain from labelled training data to the target domain with only unlabe…