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A comparative study of Detecting Covid 19 by Using Chest X-ray Images– A Deep Learning Approach

Author Affiliations
University of South Dakota, Independent University, Central Michigan University
Year2023
Citations29

Abstract

SARS-CoV-2's COVID-19 pandemic has quickly spread over the world, inflicting a sizable number of illnesses and fatalities. Stopping the virus's spread depends on correctly and rapidly identifying infected people. Although RT-PCR assays, for example, are thought to be the most accurate way to identify COVID-19, their cost and availability may be restricted in places with limited resources. In this study, we propose some deep-learning methods for predicting COVID-19 detection using chest X-ray images. Chest X-ray imaging has become an essential diagnostic tool in the management of COVID-19, as it is non-invasive, widely available, and cost-effective. However, the interpretation of chest X-rays for COVID-19 detection can be challenging, as the radiographic features of COVID-19 pneumonia can be subtle and overlap with…
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