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New dataset and Mamba network advance retinal vessel segmentation

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced WOIVES, the first public dataset for ultra-widefield swept-source OCTA vessel segmentation, featuring 206 eyes and a 24x20mm^2 field of view. They also developed PG-Mamba, a visual state space model that uses polar-coordinate scan orders and dynamic FOV gating. PG-Mamba demonstrated superior performance over seven other methods in cross-validation, achieving the lowest median absolute errors for key vascular analysis metrics. AI

IMPACT Advances retinal vessel segmentation capabilities, potentially improving diagnostic tools for eye conditions.

RANK_REASON The cluster describes a new academic paper introducing a dataset and a novel network architecture for a specific computer vision task. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New dataset and Mamba network advance retinal vessel segmentation

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The cluster describes a new academic paper introducing a dataset and a novel network architecture for a specific computer vision task. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · 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 ·

    An Ultra-Widefield Swept-Source OCTA Dataset and a Polar-Gated Mamba Network for Retinal Vessel Segmentation

    arXiv:2609.12574v1 Announce Type: new Abstract: 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 …

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