VFGS-Net: Frequency-Guided State-Space Learning for Topology-Preserving Retinal Vessel Segmentation.

Ruiqi Song|Lei Liu|Ya-Nan Zhang|Chao Wang|Xiaoning Li|Nan Mu


Anthology ID:DBLP:conf/mir/SongLZWLM26
Volume:Proceedings of the 2026 International Conference on Multimedia Retrieval, ICMR 2026, Amsterdam, The Netherlands, June 16-19, 2026
Year:2026
Venue:International Conference on Multimedia Retrieval (ICMR)
Publisher:ACM
Pages:2210-2218
URL:https://doi.org/10.1145/3805622.3810793
DOI:https://doi.org/10.1145/3805622.3810793
DBLP:conf/mir/SongLZWLM26
BibTeX:
@inproceedings{song-2026-vfgsnet, author = {Ruiqi Song and Lei Liu and Ya-Nan Zhang and Chao Wang and Xiaoning Li and Nan Mu}, editor = {Stevan Rudinac and Zi Huang and Marcel Worring and Lucia Vadicamo and Xirong Li and Pascal Mettes and Lizi Liao}, title = {{VFGS-Net: Frequency-Guided State-Space Learning for Topology-Preserving Retinal Vessel Segmentation}}, booktitle = {{Proceedings of the 2026 International Conference on Multimedia Retrieval, ICMR 2026, Amsterdam, The Netherlands, June 16-19, 2026}}, pages = {2210--2218}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805622.3810793}, doi = {https://doi.org/10.1145/3805622.3810793} }