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用牙X射线图像检测病的多种深度网络的性能比较

Shunv Ying1, Feng Huang2, Xiaoting Shen1

  • 1Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Clinical Research Center for Oral Diseases of Zhejiang Province, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou, 310006, China.

Journal of dentistry
|March 31, 2024
PubMed
概括

与其他深度学习模型相比,YOLOv5在从X射线图像中检测牙损伤方面表现出卓越的性能. 这些人工智能工具显示出有潜力帮助牙医诊断.

关键词:
脏病检测 脏病检测脏病诊断 脏病诊断 脏病诊断深度学习是一种深度学习.牙科的X射线图片 牙科的X射线图片放射性诊断 诊断 放射性诊断 诊断 诊断

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X-ray Imaging01:24

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German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
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