A Review of Covid-19 Detection and Diagnosis Methods Based on Deep Learning
1st International Conference on Advanced Research in Pure and Applied Science, ICARPAS 2021
; 2398, 2022.
Article
in English
| Scopus | ID: covidwho-2133855
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. © 2022 American Institute of Physics Inc.. All rights reserved.
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Database:
Scopus
Language:
English
Journal:
1st International Conference on Advanced Research in Pure and Applied Science, ICARPAS 2021
Year:
2022
Document Type:
Article
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