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AUTHOR(S): K. Krishnamraju, T. Chandini, S. Vamsi, S. Tejaswarrao, T. Devika, Ch. Madhu
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ABSTRACT Covid-19 is a rapidly spreading viral disease that infects not only humans, but also animals are infected because of this disease. The daily life of human beings and their health and the economy of the country are affected due to this viral disease. X-ray imaging is a tool which is easily accessible and that can be an excellent alternative in COVID-19 diagnosis. The accuracy, sensitivity, specificity for this analysis was 97%, 96.3%, 97.6% respectively. This would be extremely useful in this pandemic and need for preventive measures are at odds with available resources. The aim of this paper is to propose automatic detection of covid-19 from digital chest X-ray images by applying deep-learning algorithms. |
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Cite this paper K. Krishnamraju, T. Chandini, S. Vamsi, S. Tejaswarrao, T. Devika, Ch. Madhu. (2022) Detection and Analysis of Covid-19 Using Chest X-ray Images. International Journal of Signal Processing, 7, 44-47 |
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