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

新数据集和Mamba网络推动视网膜血管分割进展

研究人员推出了WOIVES,这是首个用于超广角扫频源OCTA血管分割的公共数据集,包含206只眼,视场角为24x20mm^2。他们还开发了PG-Mamba,一种使用极坐标扫描顺序和动态FOV门控的视觉状态空间模型。在交叉验证中,PG-Mamba在七种其他方法中表现出优越性能,在关键血管分析指标上实现了最低的中值绝对误差。 AI

影响 提升了视网膜血管分割能力,可能改进眼部疾病的诊断工具。

排序理由 该集群描述了一篇介绍新数据集和新颖网络架构以用于特定计算机视觉任务的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新数据集和Mamba网络推动视网膜血管分割进展

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该集群描述了一篇介绍新数据集和新颖网络架构以用于特定计算机视觉任务的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [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 ·

    用于视网膜血管分割的超广角扫频OCTA数据集和极化门控Mamba网络

    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 …