A Novel Deep Learning Application To Diagnose Delta Corona Virus

Authors

  • Kanak Mittal
  • Garima Sharma
  • Ankita Nainwal
  • Vikas Tripathi
  • Akash Chauhan

Keywords:

CNN, X-Ray, Covid-19, Delta variant detector, OpenCV, ReLU

Abstract

A widely mutated deadly virus called coronaviruses affrighted the global civilizationin 2019. The pandemic brought on by this virus is frightening the human’s race severely. Many organizations and individuals are working on bestto 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

Downloads

Published

2023-12-15

How to Cite

Kanak Mittal, Garima Sharma, Ankita Nainwal, Vikas Tripathi, & Akash Chauhan. (2023). A Novel Deep Learning Application To Diagnose Delta Corona Virus. Elementary Education Online, 20(3), 3257–3266. Retrieved from https://ilkogretim-online.org./index.php/pub/article/view/2663

Issue

Section

Articles