Home|Journals|Articles by Year|Audio Abstracts

Research Article

EEO. 2021; 20(3): 3257-3266

A Novel Deep Learning Application To Diagnose Delta Corona Virus

Kanak Mittal, Garima Sharma, Ankita Nainwal, Vikas Tripathi, Mr Akash Chauhan.


A widely mutated deadly virus called coronaviruses affrighted the global civilization in 2019. The pandemic brought on by this virus is frightening the human’s race severely. Many organizations and individuals are working on best to provide a way to test-based illness prediction. As the suffered individual is getting having lungs infection at first before any severe spread of infection. In our work, we are proposing a novel deep learning based covid delta variant model for early detection of COVID-19 Disease Detection along with an interactive user interface. For disease prediction we are using X- ray Images and classifying whether a person is suffering from covid-19 or not, based on chest x-ray images of that person. The accuracy received is 99.45% with validation loss of 0.0774.

Key words: CNN, X-Ray, Covid-19, Delta variant detector, OpenCV, ReLU, softmax

Full-text options

Share this Article

Online Article Submission
• ejmanager.com

ejPort - eJManager.com
Refer & Earn
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under Creative Commons Attribution 4.0 International License (CC BY), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.