PAPER / ARXIV:2609.12574
Yang Liu , Yibing Shen , Keming Zhao , Cenk Jiang , Zhenghang Qian , Zhicheng Du , Chen Xiong , Qidong Shao , Zijun Lin , Yunqi Hu , Jingjing Zhou , Lian Zhang , Peter E. Lobie , Peiwu Qin , Chengming Yang
RESUMO
Ultra-widefield (UWF) swept-source optical coherence tomography angiography (SS-OCTA) enables large-area retinal vascular imaging, yet vessel segmentation at this scale lacks dedicated public benchmarks and comprehensive evaluation for quantitative vascular analysis. We introduce WOIVES, to our knowledge the first publicly available UWF SS-OCTA vessel-segmentation dataset, comprising 206 eyes from 152 participants with a 24x20mm^2 field of view. WOIVES spans emmetropia to high myopia and provides soft probability vessel annotations. We further propose PG-Mamba, a visual state space model that enhances conventional directional scans with two complementary polar-coordinate scan orders. An auxiliary Dynamic FOV Gating module performs spatial modulation at the bottleneck. PG-Mamba outperformed seven competitive approaches on broad segmentation metrics under cross-validation. It achieved the lowest median absolute errors for vessel density, fractal dimension, and vessel length density. WOIVES is publicly available on Zenodo (DOI: https://doi.org/10.5281/zenodo.21904672 ), and the PG-Mamba code is available at this https URL .
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