Automated Detection of COVID-19 Cases Using Deep Neural Networks with X-Ray Images

Introducing a new algorithm based on the selection of features extracted from the DensNet169 deep neural network and the LightGBM classification algorithm for the automatic detection of Covid 19 disease from X-ray images

Dataset

In DataSet Folder there is 3 folder

• Covid-19 => 125 images
• No_findings => 625 images
• Pneumonia => 625 images

Dataset references

Accuracy

Classification	Accuracy Score
Binary class classification (Covid-19 vs. No-finding)	99.20
Multi class classification (Covid-19 vs. Pneumonia vs. No-finding)	94.22