Browsing Faculty of Science & Technology (FST) by Subject "Ground-glass opacities, COVID-19, convolutional neural networks, progression"
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Ground-glass opacities identification using neural networks for monitoring Covid-19 progression
(University of Nairobi, 2021)COVID-19 is a worldwide pandemic since the beginning of 2020. It records a high death rate across many countries in the world. Efforts have been put in place to control the spread and the associated deaths. Vaccination, ...