Performance of Different Deep Learning Models for COVID-19 Detection

Coronavirus disease (COVID-19) is one of the deadliest respiratory illnesses spread since the end of this century. Early coronavirus classification is critical for preventing the disease's fast spread and preserving the life of patients. Researchers focus on investigating the characteristics of the virus causing it and developing appropriate countermeasures. An extraordinary surge of pathogens has occurred, and significant efforts are made to combat the epidemic. Deep learning approaches have gained a lot of interest for medical diagnosis including the diagnosis and detection of COVID-19. Most of the intelligent radiology are utilizing Chest X-Rays (CXR) images and Computed Tomography (CT) images for detecting COVID-19. This paper provides an overview on deep learning approaches for COVID-19 classification employing several datasets, as well as data analytics on its global propagation.KeywordsCOVID-19Deep learningCT imagesChest X-rays imagesImage classification