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English(EN) TLNM: Externally Validated Tooth Detection, Numbering and Segmentation from Smartphone Photographs Using Mask R-CNN

Mask R-CNN 模型可从智能手机照片中检测牙齿

研究人员开发了一个名为 TLNM 的新系统,该系统使用 Mask R-CNN 从智能手机照片中检测、编号和分割牙齿。该流程包含一个掩码灰度世界白平衡算法和一个解剖约束检测层,以提高准确性并处理患者生成数据的变化。该模型在内部和外部测试集上均取得了高性能,展示了使用消费级智能手机图像进行远程筛查和远程牙科的自动化牙齿级别解剖映射的潜力。 AI

影响 利用消费级智能手机实现可扩展、低成本的远程牙科筛查和远程牙科。

排序理由 学术论文,详细介绍了新的计算机视觉模型及其性能。[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 →

Mask R-CNN 模型可从智能手机照片中检测牙齿

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学术论文,详细介绍了新的计算机视觉模型及其性能。[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) · Arash Nedaei, Henna Tiensuu, Elina V\"ayrynen, Saujanya Karki, Jaakko Suutala ·

    TLNM:使用 Mask R-CNN 从智能手机照片中进行外部验证的牙齿检测、编号和分割

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