High—throughput and automated screening for COVID-19

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Podrobná bibliografie
Vydáno v:	Frontiers in Medical Technology Ročník 4
Hlavní autoři:	Nestor Jonguitud-Borrego, Koray Malcı, Mihir Anand, Erikan Baluku, Calum Webb, Lungang Liang, Carlos Barba-Ostria, Linda P. Guaman, Liu Hui, Leonardo Rios-Solis
Médium:	Journal Article
Jazyk:	japonština
Vydáno:	Frontiers Media SA 15.09.2022
Témata:	Applications of Deep Learning in Medical Imaging Automation Computer science Coronavirus disease 2019 (COVID-19) Coronavirus Disease 2019 Research COVID-19 diagnostic Diagnostic Methods for COVID-19 Detection Disease Engineering FOS: Health sciences FOS: Mechanical engineering Health Sciences high-throughput Infectious disease (medical specialty) Infectious Diseases Mechanical engineering Medical Technology Medicine Pandemic Pandemics Pathology R855-855.5 Radiology, Nuclear Medicine and Imaging Risk analysis (engineering) SARS-coV-2 Telecommunications Throughput Wireless Workflow
ISSN:	2673-3129
On-line přístup:	Získat plný text
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Popis
ISSN:	2673-3129
DOI:	10.3389/fmedt.2022.969203