Enhancing COVID-19 Diagnosis Through a Hybrid CNN and Gray Wolf Optimizer Framework

نویسندگان

چکیده

Covid-19 is an infectious respiratory disorder brought about using a brand-new coronavirus first found in 2019. The severity of symptoms can vary from mild to life-threatening. No vaccine or specific treatment has been developed address Covid-19. Hence the most effective preventive measure practice social distancing and adhere good hygiene practices. Medical imaging convolutional neural networks are used research quickly identify infected individuals detect changes lung tissue those infected. Convolutional be analyze chest CT scans, detecting potential signs infection like ground-glass opacities, which indicate presence This article introduces powerful framework for classifying COVID-19 images utilizing hybrid CNN improved version Gray Wolf Optimizer. To demonstrate efficiency projected framework, it verified on standard dataset compared with other methods, results indicating its superiority over others.

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ژورنال

عنوان ژورنال: International Journal of Advanced Computer Science and Applications

سال: 2023

ISSN: ['2158-107X', '2156-5570']

DOI: https://doi.org/10.14569/ijacsa.2023.0140650