Back to Search
Start Over
A Study on SARS-CoV-2 (COVID-19) and Machine Learning Based Approach to Detect COVID-19 Through X-Ray Images.
- Source :
- International Journal of Image & Graphics; Jul2022, Vol. 22 Issue 3, p1-11, 11p
- Publication Year :
- 2022
-
Abstract
- From origin in Wuhan city of China, a highly communicable and deadly virus is spreading in the entire world and is known as COVID-19. COVID-19 is a new species of coronavirus which is affecting respiratory system of human. The virus is known as severe acute respiratory syndrome (SARS) coronavirus 2 abbreviated as SARS-CoV-2 and generally known as coronavirus disease COVID-19. This is growing day by day in countries. The symptoms include fever, cough and difficulty in breathing. As there is no vaccine made for this virus and COVID-19 tests are not readily available, this is causing panic. Various Artificial Intelligence-based algorithms and frameworks are being developed to detect this virus, but it has not been tested. People are taking advantages of others by providing duplicate COVID-19 test kits. A work is carried out with deep learning to detect presence of COVID 19. With the use of Convolutional Neural networks, the model is trained with dataset of COVID-19 positive and negative X-Rays. The accuracy of training model is 99% and the confusion matrix shows 98% values that are predicted truly. Hence, the model is able to detect the presence of COVID-19. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02194678
- Volume :
- 22
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- International Journal of Image & Graphics
- Publication Type :
- Academic Journal
- Accession number :
- 157156702
- Full Text :
- https://doi.org/10.1142/S0219467821400106