Classification of Chest X-ray Images to Diagnose Covid-19 using Deep Learning Techniques

The new coronavirus pandemic has brought disruption to the world. One of the significant dilemmas to be solved by countries, especially in underdeveloped countries like Brazil, is the lack of mass testing for the population. An alternative to these tests is detecting the disease through the analysis of radiographic images. To process different types of images automatically, we employed deep learning algorithms to achieve success in recognizing different diagnostics. This work aims to train a deep learning model capable of automatically recognizing the Covid-19 diagnosis through radiographic images. Comparing images of coronavirus, healthy lung, and bacterial and viral pneumonia, we obtained a result with 94% accuracy.