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}
}