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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Vydáno v:	Scientific reports Ročník 10; číslo 1; s. 19549
Hlavní autoři:	Wang, Linda, Lin, Zhong Qiu, Wong, Alexander
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Nature Publishing Group UK 11.11.2020 Nature Publishing Group
Témata:	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
On-line přístup:	Získat plný text
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