人工智能用于检测和分类牙
Walaa Magdy Ahmed1, Amr Ahmed Azhari1, Khaled Ahmed Fawaz2
1Assistant Professor, Department of Restorative Dentistry, Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia.
The Journal of prosthetic dentistry
|August 28, 2023
概括
一个新的深度学习模型显示了自动化牙损伤检测的前景. 这种人工智能系统可以改善早期诊断和治疗计划,以便更好地照顾患者.
科学领域:
- 牙科 牙科是指牙科的专业.
- 人工智能的人工智能
- 医疗成像医学成像
背景情况:
- 牙损伤的自动检测是早期诊断,临床医生的效率和改善治疗决策所必需的.
- 目前没有可靠的用于虫检测的自动化系统.
研究的目的:
- 训练一个深度学习模型来检测和分类牙损伤.
- 评估模型在从放射图片中识别各种病变方面的表现.
主要方法:
- 使用了具有1876×1402像素分辨率的咬翼放射图.
- 雇员监督学习算法用于语义细分任务.
- 根据修改的阿卜杜勒阿齐兹国王大学 (KAU) 分类的牙损伤分类.
主要成果:
- 深度学习模型在近端病变中获得了0.55的平均交叉比联合得分.
- 使用554个训练样本获得了0.535的F1平均得分.
- 该模型在5个类别的细分任务中展示了性能.
结论:
- 这项研究表明,人工智能在开发精确的牙虫检测模型方面具有显著的潜力.
- 这项技术可以加快虫的识别和帮助临床医生的决策.
- 这些模型的开发可能会提高患者护理的质量.
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