Multi-classification deep CNN model for diagnosing COVID-19 using iterative neighborhood component analysis and iterative ReliefF feature selection techniques with X-ray images

标题
Multi-classification deep CNN model for diagnosing COVID-19 using iterative neighborhood component analysis and iterative ReliefF feature selection techniques with X-ray images
作者
关键词
COVID-19, Convolutional neural networks CNN, Iterative neighborhood component analysis, Iterative ReliefF, Feature selection
出版物
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
Volume 224, Issue -, Pages 104539
出版商
Elsevier BV
发表日期
2022-03-30
DOI
10.1016/j.chemolab.2022.104539

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