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Updated: Jul 6, 2025

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
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在口腔病变中的卷积神经网络错误分类分析:根据图像特征的错误评估标准

Rita Fabiane Teixeira Gomes1, Jean Schmith2, Rodrigo Marques de Figueiredo2

  • 1Department of Oral Pathology, Faculdade de Odontologia-Federal University of Rio Grande do Sul-UFRGS, Porto Alegre, Brazil.

Oral surgery, oral medicine, oral pathology and oral radiology
|December 31, 2023
PubMed
概括

卷积神经网络 (CNN) 显示出对口腔病变进行分类的潜力. 在CNN分类中的错误与图像质量和数据增强有关,突出显示了自动诊断工具需要改进的领域.

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Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
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