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A multitask learning for classification of COVID-19 variants from chest CT images using Learning without forgetting based convolution neural network

2023-02-21

Abstract excerpt

As COVID-19 spreads rapidly all over the world, the lack of reliable testing kits and medical diagnoses makes the infection more vulnerable to the human population. An effective diagnosis and detection of the SARS-Cov-2 virus are required to control and prevent the COVID-19 disease. In this study, we employed a convolution neural network (CNN) to detect coronavirus-infected patients using computed tomography (CT)...

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Literature Corpus work
fa212754-eb45-5554-9e2e-5b6750c65996
DOI
10.21203/rs.3.rs-1962189/v1
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A multitask learning for classification of COVID-19 variants from chest CT images using Learning without forgetting based convolution neural networkDOI 10.21203/rs.3.rs-1962189/v1
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