COVID-19 Detection Using X-Ray Images by Using Convolutional Neural Network
5th International Conference on Intelligent Sustainable Systems, ICISS 2022
; 458:569-575, 2022.
Article
in English
| Scopus | ID: covidwho-2014056
ABSTRACT
The 2019 COVID-19 is otherwise called COVID-19. Intense Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is brought about by a beta-type COVID-19. The seriousness of the illness can be related to an enormous number of passing and diseases all over the planet. Assuming analyzed early, the illness can be successfully controlled. It is feasible to perform lab tests for examination, yet they are dictated by the accessible test hardware. Computed tomography (CT) can analyze the illness. Specifically, in the infection location organization, the pipeline is intended to anticipate standard picture input, viral burden, and COVID-19 levels. A similar report is likewise led to existing techniques. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
5th International Conference on Intelligent Sustainable Systems, ICISS 2022
Year:
2022
Document Type:
Article
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