A Review on Detection of Coronavirus (COVID-19) Disease from Chest X-Ray Images using Deep Learning Methods

Authors: Chander Deep Singh, Dinesh Kumar Garg

Country: India

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Abstract: The COVID-19 disease, which was brought on by the SARS-CoV-2 virus, spread quickly, highlighting the critical need for sensitive, quick, and accurate diagnostic methods. Finding asymptomatic instances that result in the propagation of the virus to close contacts is actually one of the primary hurdles for flattening COVID-19 distribution charts. The COVID-19 infections must still be detected even after immunisation because to the SARS-CoV-2 virus's rather quick mutation. However, due to a number of drawbacks, including low specificity and sensitivity, a quick, inexpensive, and simple approach is required for the diagnosis of COVID-19. Conventional techniques, which are commercially available, have focused on clinical manifestation, along with molecular and serological detection tools that can identify the SARS-CoV-2 virus. Today, there is a great deal of interest among scientists in developing a quick, portable test for COVID-19. Numerous cutting-edge techniques and strategies are regarded as workable sophisticated systems that can satisfy the demands. This article discusses recent methods and sensing innovations that support COVID-19 diagnosis for quick and accurate SARSCoV-2 viral identification.

Keywords: Corona Virus, COVID-19, Chest X-ray, Disease Detection, Deep Learning, CNN, Convolutional Neural Network, RT-PCR, CT Scan

Paper Id: 1628

Published On: 2022-12-26

Published In: Volume 10, Issue 6, November-December 2022

Cite This: A Review on Detection of Coronavirus (COVID-19) Disease from Chest X-Ray Images using Deep Learning Methods - Chander Deep Singh, Dinesh Kumar Garg - IJIRMPS Volume 10, Issue 6, November-December 2022.

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