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一种基于非的最佳多级值选择技术,用于COVID-19X射线图像,使用基于机会的鸟类智能

Gyanesh Das1, Monorama Swain2, Rutuparna Panda1

  • 1Department of Electronics and TCE, Veer Surendra Sai University of Technology, Burla, Odisha 768018 India.

Soft computing
|June 26, 2023
PubMed
概括

一种新的基于非的图像值方法改善了COVID-19的X射线细分. 这种方法利用了新的健身功能和基于机会的鸟类.

关键词:
在COVID-19的X射线图像分析中.基于机会的鸟智能智能机器学习 机器学习多级值设置多级值设置软计算是一种软计算.

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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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