Sajib Sarker, Ling Tan*, Wenjie Ma, Shanshan Rong, Osibo Benjamin Kwapong, Oscar Famous Darteh
Journal on Internet of Things, Vol.3, No.2, pp. 39-51, 2021, DOI:10.32604/jiot.2021.014877
Abstract The novel coronavirus 2019 (COVID-19) rapidly spreading around
the world and turns into a pandemic situation, consequently, detecting the
coronavirus (COVID-19) affected patients are now the most critical task for
medical specialists. The deficiency of medical testing kits leading to huge
complexity in detecting COVID-19 patients worldwide, resulting in the number
of infected cases is expanding. Therefore, a significant study is necessary about
detecting COVID-19 patients using an automated diagnosis method, which
hinders the spreading of coronavirus. In this paper, the study suggests a Deep
Convolutional Neural Network-based multi-classification framework (COVMCNet) using eight different pre-trained architectures such as VGG16, VGG19,… More >
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