COVID-19 detection in Chest X-ray Images using Deep Learning

Abstract: The Corona Virus unwellness (COVID-19) is Associate in Nursing communicable disease caused by a brand new virus that has not been detected in humans before. The virus causes a disease just like the respiratory disorder with varied symptoms like cough or fever that, in severe cases, might cause respiratory disorder. The COVID-19 spreads therefore quickly between individuals, moving to one,200,000 individuals worldwide at the time of penning this paper (April 2020). because of the amount of contagious and deaths square measure frequently growing day by day, the aim of this study is to develop a fast technique to find COVID-19 in chest X-ray pictures exploitation deep learning techniques. For this purpose, Associate in Nursing object detection design is projected, trained and tested with a public offered dataset composed with 1500 pictures of non-infected patients and infected with COVID-19 and respiratory disorder. the most goal of our technique is to classify the patient standing either negative or positive COVID-19 case. In our experiments exploitation SDD300 model we have a tendency to attain a ninety four.92% of sensibility and ninety two.00% of specificity in COVID-19 detection, demonstrating the quality application of deep learning models to classify COVID-19 in X-ray pictures.

Keywords: COVID-19,X-Ray,Chest,Virus.