切口脉腔断层图像数据集用于牙年龄估计
Davi Magalhães Pereira1, Alexandre Vieira Pereira Pacelli1, William José Lopes Junior2
1Department of Computer Science, Federal University of Juiz de Fora (UFJF), Juiz de Fora, Brazil.
Data in brief
|October 6, 2025
概括
这项研究引入了用于法医牙科的上部中央切口器的圆束计算机断层扫描 (CBCT) 的新数据集. 这些数据有助于检测牙,细分和估计身份不明个体的年龄.
科学领域:
- 法医牙科 法医牙科
- 牙图像分析 牙图像分析
- 医疗成像医学成像
背景情况:
- 准确的牙分析对于识别法医案件中的个人至关重要.
- 现有的数据集可能缺乏多样性或为高级应用程序提供全面的注释.
研究的目的:
- 为了呈现一个新的数据集的圆束计算机断层扫描 (CBCT) 的上部中央切口的扫描.
- 通过机器学习支持牙检测,细分和年龄估计的研究.
主要方法:
- 从18-60岁的巴西人群中获得CBCT扫描.
- 包括牙冠和牙腔的冠状和形视图,以及牙冠和牙腔的界限框和细分注释.
- 提供了详细的元数据,包括年龄,性别,牙数和患者代码.
主要成果:
- 数据集提供了全面的成像数据与精确的注释.
- 它促进了用于牙科应用的机器学习模型的开发和验证.
- 允许对牙结构进行详细的分析,这与年龄估计有关.
结论:
- 这一数据集是推进法医牙科和牙科图像分析的宝贵资源.
- 它支持自动诊断和复杂的法医调查.
- 促进在牙科中进一步研究机器学习应用.
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