The week's pick
Reseach Article
COVID-CAM: A Method of Detection COVID using Active Map Classification, CNN and Deep Learning
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 176 - Number 38 |
| Year of Publication: 2020 |
| Authors: Parth Sabhadiya, Vaikunth Desai, Nayankumar Sorathiya |
10.5120/ijca2020920445
|
Parth Sabhadiya, Vaikunth Desai, Nayankumar Sorathiya . COVID-CAM: A Method of Detection COVID using Active Map Classification, CNN and Deep Learning. International Journal of Computer Applications. 176, 38 ( Jul 2020), 7-13. DOI=10.5120/ijca2020920445
Abstract
The Novel Corona Virus (COVID'19) spread rapidly around the world and become pandemic.it has caused more than 6.1 million cases (end of May 2020) of corona disease and effect on both people's daily lives, public health, and the main issue of the global economy. It has critical to detect the COVID'19 from the people and give the quick treatment of affected people due to no accurate toolkit available. They see many researcher-made detection methods using CT images this method is time-consuming and also not give that much accuracy therefore for the early detection and accuracy we develop one model of AI system using computer vision and deep learning which can detect CORONA using chest X-ray (CXR) images that is open source and available to the general public. However model divide into the two modules, the first module detects the COVID'19 using Chest X-ray images and the second module with help of active classification map method gives results with high accuracy.
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