AI for COVID Detection

Authors

  • Sushmitha V ECE Department, S J C Institute of Technology, Chickballapur, India
  • Shobha B N ECE Department, S J C Institute of Technology, Chickballapur, India

Keywords:

X-Ray, AI, Ultrasound, COVID-19

Abstract

The global epidemic of nimbus contagion complaint (COVID- 19) has caused millions of deaths and affected the livelihood of numerous further people. Beforehand and rapid-fire discovery of COVID- 19 is a grueling task for the medical community, but it's also pivotal in stopping the spread of the SARS- CoV- 2 contagion. Previous validation of artificial intelligence (AI) in colorful fields of wisdom has encouraged experimenters to further address this problem. Colorful medical imaging modalities including X-ray, reckoned tomography (CT) and ultrasound (US) using AI ways have greatly helped to check the COVID- 19 outbreak by aiding with early opinion. We carried out a methodical review on state- of- the- art AI ways applied with X-ray, CT, and US images to descry COVID- 19. In this paper, we bandy approaches used by colorful authors and the significance of these exploration sweats, the implicit challenges, and unborn trends related to the perpetration of an AI system for complaint discovery during the COVID- 19 epidemic.

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References

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Published

2022-08-05

How to Cite

[1]
S. V and S. B N, “AI for COVID Detection”, pices, pp. 60-62, Aug. 2022.

Issue

2022: PiCES - Special Issue

Section

Articles

License

Copyright (c) 2022 Perspectives in Communication, Embedded-systems and Signal-processing - PiCES

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.