A Deep Learning based System for Covid-19 Positive Cases Detection Using Chest X-ray Images

Recent technology advancements open the door for the employment of deep learning-based methods in practically all spheres of human endeavor. Deep learning algorithms can be employed in the medical industry for the categorization and identification of various diseases because of their accuracy. The recent coronavirus (COVID-19) pandemic has significantly strained the global health system. By using medical imaging and PCR testing, COVID-19 can be diagnosed. Since COVID-19 is very communicable, chest X-ray diagnosis is frequently regarded as safe. In this report, a deep learning-based method is suggested for differentiating COVID-19 infections from other illnesses that aren't COVID-19. A pre-trained model, Densenet121 is employed to categorize COVID-19.