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English(EN) GingivitisSeg: A Public Dataset and Comparative Benchmark for Gingivitis Segmentation in Intraoral Images

新数据集GingivitisSeg为牙齿炎症检测的AI设定基准

研究人员推出了GingivitisSeg,这是一个用于分割口腔内图像中牙龈炎的新公共数据集和基准。该数据集包含961张带有像素级标注的图像,分为训练集、验证集和测试集。评估了七种不同的语义分割模型配置,其中使用ResNet50的UPerNet在平均交并比(mIoU)方面表现最佳。然而,在应用Holm校正后,顶级模型之间的性能差异没有统计学意义。 AI

影响 该数据集和基准可以通过提高牙龈炎检测的准确性来推动AI在牙科诊断中的应用。

排序理由 该集群描述了一个特定AI任务的新数据集和基准,发布在arXiv上。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 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GingivitisSeg为牙齿炎症检测的AI设定基准

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该集群描述了一个特定AI任务的新数据集和基准,发布在arXiv上。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Zeynep Ozdemir, Zehra Hasgul, Irem Ulku, Omer Ozgur Tanriover, Fatma Karacaoglu, Murat Akkaya ·

    GingivitisSeg:口腔内图像牙龈炎分割的公共数据集和比较基准

    arXiv:2611.15184v1 Announce Type: cross Abstract: Gingivitis segmentation from intraoral photographs can support computer-assisted periodontal assessment, but pixel-level delineation remains challenging due to severe foreground-background class imbalance, low-contrast boundaries,…