{"id":"W3105081694","doi":"10.1038/s41598-020-76550-z","title":"COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":3156,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Coronavirus disease 2019 (COVID-19); Convolutional neural network; Computer science; Benchmark (surveying); Radiography; Audit; Pandemic; Artificial intelligence; Medicine; Radiology; Medical physics; Data mining; Pathology; Disease; Cartography; Business; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null}