Within the lack of chest COVID-19 X-ray dataset: A novel detection model based on GAN and deep transfer learning
Detection Principle
Imaging-X-ray
Target
X-rays
Testing Method Category
In_silico
Testing Method
deep learning
Testing Method - Additional Info
GAN with deep transfer learning for coronavirus detection in chest X-ray images
Reported Performance
testing accuracy: 80.6% (Googlenet), 85.2% (Alexnet), 100% (Googlenet including two classes COVID-19, and normal); validation accuracy: 99.9% (Googlenet including two classes COVID-19, and normal)
Sample Size
307 images
Peer-reviewed
yes
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