A Comprehensive Approach to COVID-19 Detection and Management Using Deep Learning--Review

Abstract

COVID-19 is a critical global health emergency that has affected millions of people worldwide. Early detection of the virus is essential to prevent its spread and death. The predominant clinical approach for detecting the presence of the covid-19 is through reverse transcription polymerase chain reaction (RT-PCR). Still, it has disadvantages, such as a high cost and a long turnaround time. In this study, different models are tested. These examples were circumstantial. CNN is a great choice for image discovery and consumption projects. Impressive results were obtained, especially in applications dealing with image data. This report focuses on enhancing the capability of Convolutional Neural Networks (CNNs) to identify COVID-19 in chest X-ray images.