Optimized Convolutional Neural Networks for Detecting Covid-19 from Chest X-Ray

Optimized Convolutional Neural Networks for Detecting Covid-19 from Chest X-Ray
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© 2022 by IJETT Journal
Volume-70 Issue-12
Year of Publication : 2022
Author : S. Deepa, S. Shakila
DOI : 10.14445/22315381/IJETT-V70I12P221

How to Cite?

S. Deepa, S. Shakila, "Optimized Convolutional Neural Networks for Detecting Covid-19 from Chest X-Ray," International Journal of Engineering Trends and Technology, vol. 70, no. 12, pp. 210-218, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I12P221

Abstract
COVID-19 is a respiratory syndrome caused by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) infection. Typically, COVID-19 is an acute resolved disease with symptoms at onset, such as dry cough, fatigue, fever, or other gastrointestinal symptoms. While COVID-19 has milder clinical symptoms and a lower fatality rate than SARS and MERS, it can also be deadly as patients may develop a diffuse alveolar injury, progressive respiratory failure, etc. Currently, there is the existing infrastructure's (for example, limited image data sources having expert-labelled datasets) inadequacy for identifying COVID-19-positive patients. Also, a lot of time is consumed due to manual detection. With the increase in global incidences, there is an expectation that a deep learning-based solution will soon be developed and incorporated with clinical practices to offer an easy, accurate, and cost-effective process for the automated recognition of COVID-19 assistance of the screening procedure. Convolutional Neural Networks (CNN) are effective in identifying COVID-19. The deep learning models require to have proper hyperparameters to perform efficiently. In this work, the hyperparameters of CNN are optimized with methods of hybrid optimization based on the Firefly Algorithm (FA) and the Particle Swarm Optimization (PSO) algorithms to boost the diagnostic performance.

Keywords
Covid-19, Convolutional Neural Networks, Firefly Algorithm, Particle Swarm Optimization (PSO), Sars-cov-2.

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