开发一个计算机辅助的诊断系统,用于检测牙损伤,使用X光图像
Amin Mehri Shervedani1, Hamed Khodadadi2, Seyed Iman Mousavian1
1Department of Biomedical Engineering, Khomeinishahr Branch, Islamic Azad University, Isfahan, Iran.
Computers in biology and medicine
|August 20, 2025
概括
智能计算机辅助诊断 (CAD) 系统可以准确地检测牙腐烂的X线图像. 这种自动化工具的准确性达到93.33%,提高了临床实践中的诊断可靠性.
科学领域:
- 牙科学
- 医学成像
- 人工智能
背景情况:
- 延迟诊断牙损伤会导致严重的并发症,包括牙损失.
- 由于人为因素,X光图像的手动解释容易出现错误.
- 自动诊断工具对于准确有效地检测牙损伤至关重要.
研究的目的:
- 开发一种智能计算机辅助诊断 (CAD) 系统,用于在X光图像中检测牙腐烂.
- 提高临床牙科实践的诊断准确性和效率.
主要方法:
- 使用先进的图像处理和机器学习技术来分析X光图像.
- 应用预处理以删除艺术品和增强图像.
- 使用Sauvola值和Canny边缘检测进行牙细分.
- 提取的纹理和混乱指数用于特征提取.
- 使用非主导分类遗传算法II (NSGAII) 进行特征选择.
- 使用十倍交叉验证和支持矢量机 (SVM) 分类器评估性能.
主要成果:
- 开发的CAD系统有效地区分了健康的牙和腐烂的牙.
- 支持矢量机 (SVM) 分类器在虫检测中达到最高准确率93.33%.
- 该系统在识别牙方面表现出强大而精确的性能.
结论:
- 智能CAD系统提供了可靠和精确的牙腐烂检测工具.
- 这项技术有可能在现代临床环境中显著提高诊断可靠性.
- 自动牙检测可以帮助牙医及时有效地规划治疗.
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