CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization
Detection Principle
Imaging-X-ray
Target
chest X-rays
Testing Method Category
Testing Method
CNN
Testing Method - Additional Info
deep convolutional neural network (CNN) based architecture (CovXNet)
Reported Performance
accuracy: 97.4% (COVID/Normal), 96.9% (COVID/Viral pneumonia), 94.7% (COVID/Bacterial pneumonia), 90.2% (multiclass COVID/normal/Viral/Bacterial pneumonias)
Sample Size
5856 images
Peer-reviewed
yes
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