Deep Transfer Learning-Based COVID-19 Prediction Using Chest X-Rays

The novel coronavirus disease (COVID-19) is spreading very rapidly across the globe because of its highly contagious nature and declared as a pandemic by World Health Organization (WHO). Scientists are endeavouring to ascertain drugs for efficacious treatment. Because, until now, no full-proof drug available cure this deadly disease. Therefore, identifying COVID-19 positive people quarantining them can be an effective solution control spread. Many machine learning deep techniques being used quite effectively classify negative cases. In work, transfer learning-based model proposed cases using chest X-rays or CT scan images infected persons. based on ensembling DenseNet121 SqueezeNet1.0, which named DeQueezeNet. extract importance various influential features from X-ray images, performance study depicts effectiveness in terms accuracy precision. A comparative has also been done with recently published works, it observed that significantly better.