Advanced
search

To read this content please select one of the options below:

COVID-19 prediction through X-ray images using various layers in convolutional neural network

Jyoti Mishra (Department of Electronics and Communication (Computer Science), University of Allahabad, Allahabad, India)
Mahendra Tiwari (University of Allahabad, Allahabad, India)
Bhavna Bajpai (IT, Dr CV Raman University, Khandwa, India)
Swati Atre (Dr CV Raman University Khandwa, Khandva, India)
Amandeep Kaur (Sri Guru Granth Sahib World University, Fatehgarh Sahib, India)

World Journal of Engineering

ISSN: 1708-5284

Article publication date: 17 August 2021

Issue publication date: 15 March 2022

85

Abstract

Purpose

The purpose of this paper is to focus on the prediction of Coronavirus 2019 (COVID-19) using X-ray image.

Design/methodology/approach

This study proposed convolutional neural network (CNN) approach to predict COVID-19.

Findings

Prediction of COVID-19 using CNN.

Originality/value

The work has implemented multiple CNN models to classify chest X-ray of affected patients by using their chest scans. According to three models, the ResNet-50 is advantageous because of its high service reliability.

Keywords

Citation

Mishra, J., Tiwari, M., Bajpai, B., Atre, S. and Kaur, A. (2022), "COVID-19 prediction through X-ray images using various layers in convolutional neural network", World Journal of Engineering, Vol. 19 No. 2, pp. 139-146. https://doi.org/10.1108/WJE-01-2021-0015

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

Related articles

Manage cookies

We’re listening — tell us what you think

Join us on our journey