Yassir Edrees Almalki1, Maryam Zaffar2,*, Muhammad Irfan3, Mohammad Ali Abbas2, Maida Khalid2, K.S. Quraishi4, Tariq Ali5, Fahad Alshehri6, Sharifa Khalid Alduraibi6, Abdullah A. Asiri7, Mohammad Abd Alkhalik Basha8, Alaa Alduraibi6, M.K. Saeed7, Saifur Rahman3
Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 163-180, 2023, DOI:10.32604/iasc.2023.025580
Abstract The numbers of cases and deaths due to the COVID-19 virus have increased daily all around the world. Chest X-ray is considered very useful and less time-consuming for monitoring COVID disease. No doubt, X-ray is considered as a quick screening method, but due to variations in features of images which are of X-rays category with Corona confirmed cases, the domain expert is needed. To address this issue, we proposed to utilize deep learning approaches. In this study, the dataset of COVID-19, lung opacity, viral pneumonia, and lastly healthy patients’ images of category X-rays are utilized to evaluate the performance of… More >
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