COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images

The Coronavirus Disease 2019 (COVID-19) pandemic continues to have a devastating effect on the health and well-being of the global population. A critical step in the fight against COVID-19 is effective screening of infected patients, with one of the key screening approaches being radiology examinati...

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Bibliographic Details
Published in:	Scientific reports Vol. 10; no. 1; p. 19549
Main Authors:	Wang, Linda, Lin, Zhong Qiu, Wong, Alexander
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 11.11.2020 Nature Publishing Group
Subjects:	692/699/255/2514 692/700/139 Chest Computational Biology Coronavirus Infections - diagnostic imaging Coronaviruses COVID-19 Deep Learning Humanities and Social Sciences Humans Image Processing, Computer-Assisted multidisciplinary Neural networks Pandemics Pneumonia, Viral - diagnostic imaging Radiography Radiography, Thoracic Radiology Science Science (multidisciplinary) Tomography, X-Ray Computed Well being
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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