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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM13344

Detecting COVID-19 Symptoms using X-ray Image with Deep Learning Algorithm

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM13344

Volume:

6 |

5 |

May 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM13344

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

VS

VINITHA S

MSKP

Mr. SENTHIL KUMAR P

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Abstract

Since the new coronavirus SARS-CoV-2 outbreak, ferocious exploration has been conducted to find suitable tools for opinion and relating to infected people in order to take applicable action. Chest imaging plays a significant part in this phase where CT and X Rays reviews have proven to be effective in detecting COVID-19 within the lungs. In this exploration, we propose deep literacy models using Transfer learning to describe COVID-19. BothX-ray and CT reviews were considered to estimate the proposed method.

KEYWORDS

COVID-19 medical imaging Transfer Learning Deep Learning Chest XRay Images CT Scans 1

Cite This Article

VINITHA S, Mr. SENTHIL KUMAR P, "Detecting COVID-19 Symptoms using X-ray Image with Deep Learning Algorithm," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 5, May 2022. https://doi.org/10.55041/IJSREM13344

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Publication Date

5/24/2022

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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