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English(EN) Observer Choice and Threshold Selection in Retinal Vessel Segmentation: A Subject-Separated Evaluation

研究发现:视网膜血管分割准确性受阈值选择影响

一篇新的研究论文评估了观察者选择和阈值选择对视网膜血管分割准确性的影响。该研究使用了CHASE DB1数据集,并分析了不同的阈值策略,包括固定阈值、观察者调优和最大最小值调优。结果表明,尽管最大最小值调优在大多数拟合中改变了阈值,但它在最差观察者Dice得分方面几乎没有提高。该论文提倡明确报告阈值选择和评估参考,以确保分割准确性评估的清晰度。 AI

影响 这项研究强调了在计算机视觉领域,特别是在医学成像任务中,标准化评估协议的重要性。

排序理由 关于特定计算机视觉任务的研究论文。[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 →

研究发现:视网膜血管分割准确性受阈值选择影响

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关于特定计算机视觉任务的研究论文。[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) · Wenhao Xu, Yixian Kong, Ting Pan, Feilong Wang, Changwei Wang ·

    观察者选择与阈值选择在视网膜血管分割中的应用:一项受试者分离评估

    arXiv:2609.25597v2 Announce Type: replace Abstract: The annotation used to select a segmentation threshold is part of the evaluation protocol, yet its effect is easily conflated with model quality. We examine this choice for retinal vessel segmentation using all 28 CHASE DB1 imag…