Detection of coronavirus disease from X-ray images using deep learning and transfer learning algorithms.

Journal: Journal of X-ray science and technology

Published Date: Jan 1, 2020

Abstract

OBJECTIVE: This study aims to employ the advantages of computer vision and medical image analysis to develop an automated model that has the clinical potential for early detection of novel coronavirus (COVID-19) infected disease.

Authors

Saleh Albahli

Department of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia.
Waleed Albattah

Department of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia.

Keywords

Algorithms Betacoronavirus Coronavirus Infections COVID-19 Deep Learning Early Diagnosis Humans Lung Neural Networks, Computer Pandemics Pneumonia Pneumonia, Viral Reproducibility of Results SARS-CoV-2 Tomography, X-Ray Computed

External Resources

View on PubMed Access via DOI PubMed (32804113)

Detection of coronavirus disease from X-ray images using deep learning and transfer learning algorithms.

Abstract

Authors

Keywords

External Resources

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