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用深度学习对放射学报告中的诊断确定性进行分类

Kento Sugimoto1, Shoya Wada1,2, Shozo Konishi1

  • 1Department of Medical Informatics, Osaka University Graduate School of Medicine, Osaka, Japan.

Studies in health technology and informatics
|January 25, 2024
PubMed
概括

这项研究引入了五类顺序尺度,用于测量放射学报告中的诊断确定性. 一个深度学习模型实现了97.61%的准确性,证明了规模.

关键词:
诊断确定性的确定性深度学习是一种深度学习.放射学报告 放射学报告

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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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