#11241. Binary classification of COVID-19 CT images using CNN: COVID diagnosis using CT
August 2026 | publication date |
Proposal available till | 23-05-2025 |
4 total number of authors per manuscript | 0 $ |
The title of the journal is available only for the authors who have already paid for |
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Journal’s subject area: |
Health (social science);
Public Health, Environmental and Occupational Health; |
Places in the authors’ list:
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)
Abstract:
The COVID-19 pandemic has hit the world with such a force that the worlds leading economies are finding it challenging to come out of it. In this study, we analyzed computed tomography (CT) images of the respiratory system using deep learning binary classification algorithms to classify the infected people with non-infected people. The detection rate was improved through the integration of CNN for binary classification.
Keywords:
Convolutional neural network; COVID-19; CT images; Deep learning; Image classification
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