Developing a Recognition System for Classifying COVID-19 Using a Convolutional Neural Network Algorithm

Volume: 68, Issue: 1, Pages: 805 - 819
Published: Jan 1, 2021
Abstract
The COVID-19 pandemic poses an additional serious public health threat due to little or no pre-existing human immunity, and developing a system to identify COVID-19 in its early stages will save millions of lives. This study applied support vector machine (SVM), k-nearest neighbor (K-NN) and deep learning convolutional neural network (CNN) algorithms to classify and detect COVID-19 using chest X-ray radiographs. To test the proposed system,...
Paper Details
Title
Developing a Recognition System for Classifying COVID-19 Using a Convolutional Neural Network Algorithm
Published Date
Jan 1, 2021
Volume
68
Issue
1
Pages
805 - 819
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.