Deep Learning and Medical Imaging for COVID-19 Diagnosis: A Comprehensive Survey

COVID-19 (Coronavirus disease 2019) has been quickly spreading since its outbreak, impacting financial markets and healthcare systems globally. Countries all around the world have adopted a number of extraordinary steps to restrict the spreading virus, where early COVID-19 diagnosis is essential. Medical images such as X-ray images and Computed Tomography scans are becoming one of the main diagnostic tools to combat COVID-19 with the aid of deep learning-based systems. In this survey, we investigate the main contributions of deep learning applications using medical images in fighting against COVID-19 from the aspects of image classification, lesion localization, and severity quantification, and review different deep learning architectures and some image preprocessing techniques for achieving a preciser diagnosis. We also provide a summary of the X-ray and CT image datasets used in various studies for COVID-19 detection. The key difficulties and potential applications of deep learning in fighting against COVID-19 are finally discussed. This work summarizes the latest methods of deep learning using medical images to diagnose COVID-19, highlighting the challenges and inspiring more studies to keep utilizing the advantages of deep learning to combat COVID-19

Perspectives on the Information Technologies Being Used in the Battle Against COVID-19

Information technology (IT) has been paramount in the battle against COVID-19. This paper reports the initial findings of a review of 212 research articles on IT-based technologies that were used to help aid in the battle against COVID-19. The study systematically identified 212 research articles and evaluated the technologies that each article reported on. The analysis found 78 unique technologies. Subsequently, the 78 technologies were categorized into five groups. This paper discusses these five groups of technologies and offers perspective on what studies need to be conducted to better guide the use of IT in the fight against COVID-19 and future pandemics