Open AccessConvolutional Neural Network Based COVID-19 Detection Using Chest X-ray Images
Author(s) -
Chetan P. Padole
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.36995
Subject(s) - covid-19 , disease , medicine , convolutional neural network , pandemic , diabetes mellitus , chest pain , artificial intelligence , computer science , infectious disease (medical specialty) , endocrinology
Coronavirus disease 2019 (COVID-19) is a communicable disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It was first identified in December 2019 in Wuhan province, China and has resulted in an ongoing pandemic. Most people infected with the Covid-19 virus will experience mild to moderate respiratory illness and recover without requiring any special treatment or medicines. But elder people, who has some past medical history problems like cardiovascular disease, diabetes, cancer etc. are more likely to develop serious illness and want some medical treatment to cure the disease. In this paper, we experimented with applying a Convolutional Neural Network (CNN) algorithm by using a dataset of 760 Chest X-ray images , some of them are covid positive images and remaining are covid negative images. Among 760 images, we have used 80% of Chest X-ray images for training purposes and 20% for testing purposes. After completing the process, we got the accuracy of 92.84%.