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A review of covid-19 detection and diagnosis methods based on deep learning.
- Source :
-
AIP Conference Proceedings . 10/25/2022, Vol. 2398 Issue 1, p1-21. 21p. - Publication Year :
- 2022
-
Abstract
- (COVID-19) is an epidemic disease with symptoms similar to the flu. Since December 2019, the new Coronavirus has appeared in China and spread all around the world. As a result, the rapid and severe spread. For example, computed tomography (CT) and x-rays are utilized to find an available and accurate diagnostic tool. Artificial intelligence technologies make a significant contribution to the diagnosis and analysis of medical images. As a consequence, it was used to detect and diagnose Covid-19. Thus, the entire major medical scanning will be covered in this review paper, especially Focus mostly on last year's combination of Artificial Intelligence with CT and X-ray. Both are commonly used on front-line medical clinics to identify the recent results of fighting COVID-19. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 0094243X
- Volume :
- 2398
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- AIP Conference Proceedings
- Publication Type :
- Conference
- Accession number :
- 159872603
- Full Text :
- https://doi.org/10.1063/5.0094178