人工智能驱动的牙解剖学检测:基于YOLO的方法
Hatice Tekis1, Taha Zirek2, Melek Tassoker2
1Faculty of Engineering, Department of Computer Engineering, Eskisehir Technical University, Eskişehir, Turkey; Cappadocia Vocational School, Information Security Technology Program, Cappadocia University, Nevşehir, Türkiye.
人工智能模型使用YOLO (你只看一次) 技术准确地检测牙解剖学,特别是牙号码和名称. 这一进步有望实现牙科诊断的自动化,并提高临床工作流程的效率.
科学领域:
- 人工智能的人工智能
- 计算机视觉 计算机视觉
- 牙科 牙科是指牙科的专业.
背景情况:
- 牙科诊断通常依赖于手动识别牙解剖学,这可能是耗时且容易出现错误的.
- 自动检测牙解剖学,如牙号码和名称,对于提高数字牙科的效率至关重要.
研究的目的:
- 开发和评估一种人工智能驱动的系统,用于使用各种YOLO (You Only Look Once) 模型自动检测牙解剖学.
- 评估不同YOLO版本在从口腔内牙科图像中准确识别牙号码和名称方面的性能.
主要方法:
- 724张高分辨率口腔内牙科照片的数据集被注释用于培训,验证和测试.
- 实施和比较了多个YOLO版本,包括YOLOv8l,YOLOv9c,YOLOv10l和YOLO11l.
- 使用诸如回忆,精度,F1得分和平均精度 (mAP@50) 等指标量化模型性能.
主要成果:
- YOLOv8l表现出最高的F1评分 (96.7%) 和回忆 (97.8%).
- YOLO11l获得了最好的精度 (96.6%) 和最高的mAP@50 (98.4%).
- 所有评估的YOLO模型都显示出在高分辨率牙科图像中精确检测牙的巨大潜力.
结论:
- 基于YOLO的模型为牙解剖学的自动检测提供了有效的解决方案.
- 将这些人工智能模型集成到远程医疗和数字牙科平台中可以简化工作流程并减少手工劳动.
- 这项技术有可能扩大获得牙科护理的机会,特别是在服务不足的地区.
更多相关视频
06:18Mixed Reality Technology and Three-Dimensional Printing in Teaching: Heart Anatomy as an Example
Published on: April 18, 2025
08:20Systematic Approach to Identify Novel Antimicrobial and Antibiofilm Molecules from Plants' Extracts and Fractions to Prevent Dental Caries
Published on: March 31, 2021
相关概念视频
Power
Tooth Anatomy
The Crown, Neck, and Root
The visible part of the tooth is referred to as the crown. It's covered by enamel, the hardest substance in the human body. The crown is uniquely shaped for each type of tooth, allowing for different functions such as cutting, tearing, or...
Anatomy of the Gastrointestinal System
Here's a detailed walkthrough of this complex system:
Anatomy of the Eyeball
Anatomy of the Heart
Anatomy of Chloroplasts
