Deep learning analysis provides accurate COVID-19 diagnosis on chest computed tomography.

Journal: European journal of radiology

Published Date: Nov 4, 2020

Abstract

INTRODUCTION: Computed Tomography is an essential diagnostic tool in the management of COVID-19. Considering the large amount of examinations in high case-load scenarios, an automated tool could facilitate and save critical time in the diagnosis and risk stratification of the disease.

Authors

D Javor

Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
H Kaplan

Deepinsights Study Group for Artificial Intelligence, Vienna, Austria.
A Kaplan

Deepinsights Study Group for Artificial Intelligence, Vienna, Austria.
S B Puchner

Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria. Electronic address: stefan.puchner@meduniwien.ac.at.
C Krestan

Department of Radiology, Sozialmedizinisches Zentrum Süd - Kaiser-Franz-Josef Spital, Vienna, Austria.
P Baltzer

Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.

Keywords

COVID-19 Deep Learning Female Humans Lung Male Middle Aged Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results ROC Curve Sensitivity and Specificity Tomography, X-Ray Computed

External Resources

View on PubMed Access via DOI PubMed (33190102)

Deep learning analysis provides accurate COVID-19 diagnosis on chest computed tomography.

Abstract

Authors

Keywords

External Resources

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