Multi-classification deep CNN model for diagnosing COVID-19 using iterative neighborhood component analysis and iterative ReliefF feature selection techniques with X-ray images
Chemometrics and Intelligent Laboratory Systems（2022）
摘要
•We presented a Covid-19 detection model using CNN networks, INCA, IRF.•We achieved accuracy rate of 99.14% with VGG16.
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关键词
COVID-19,Convolutional neural networks CNN,Iterative neighborhood component analysis,Iterative ReliefF,Feature selection
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