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在临床上具有代表性的CBCT数据集-A验证研究中评估周周损伤检测CNN.

Arnela Hadzic1, Martin Urschler1, Jan-Niclas Aaron Press2

  • 1Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, 8036 Graz, Austria.

Journal of clinical medicine
|January 11, 2024
PubMed
概括

这项研究验证了一种深度学习算法,用于检测圆束计算机断层扫描 (CBCT) 上的周周病变. 虽然特异性符合非劣质标准,但当排除非常小的病变时,敏感性显著改善.

关键词:
人工智能的人工智能是人工智能.卷积神经网络是一种卷积神经网络.深度学习是一种深度学习.数字成像/辐射学图像分割 图像细分 图像细分这是一种炎症炎症炎症炎症.通过口腔诊断进行诊断.周围的外皮病变.

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