Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer Learning

Highlights • Preparing a dataset of around 5000 X-ray images for COVID-19 detection.• Training 4 state-of-the-art convolutional networks for COVID-19 detection.• Presenting the sensitivity, specificity, ROC curve, AOC, and confusion matrix for each model.• Achieving sensitivity and specificity rate of higher than 90% with high confidence interval.