This paper is published in Volume-7, Issue-3, 2021
Area
Computer Science Engineering
Author
Kartikey, K. Pramilarani
Org/Univ
New Horizon College of Engineering, Bengaluru, Karnataka, India
Pub. Date
29 May, 2021
Paper ID
V7I3-1532
Publisher
Keywords
Covid-19, TensorFlow, Keras, Deep Learning, CNN

Citationsacebook

IEEE
Kartikey, K. Pramilarani. COVID Detection using X-ray, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Kartikey, K. Pramilarani (2021). COVID Detection using X-ray. International Journal of Advance Research, Ideas and Innovations in Technology, 7(3) www.IJARIIT.com.

MLA
Kartikey, K. Pramilarani. "COVID Detection using X-ray." International Journal of Advance Research, Ideas and Innovations in Technology 7.3 (2021). www.IJARIIT.com.

Abstract

As we know about the Covid-19 virus that has shaken everyone around the globe. People get affected to this deadly virus physically & mentally and due to bad medical facilities in some countries it has become difficult to handle this large crowd of patients rushing to the hospitals. COVID-19 tests kits were hard to come by, there are simply not enough of them and they cannot be manufactured fast enough, which is causing panic. When there’s panic, there are nefarious people looking to take advantage of others, namely by selling fake COVID-19 test kits after finding victims on social media platforms and chat applications. Since COVID-19 attacks the epithelial cells that line our respiratory tract, we can use X-rays images to analyse the health of a patient’s lungs. And given that nearly all hospitals have X-ray imaging machines, it could be possible to use X-rays to test for COVID-19 without the dedicated test kits. This project uses TensorFlow and Keras and deep learning using CNN algorithm to train the model.