High—throughput and automated screening for COVID-19

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Bibliographische Detailangaben
Veröffentlicht in:Frontiers in Medical Technology Jg. 4
Hauptverfasser: Nestor Jonguitud-Borrego, Koray Malcı, Mihir Anand, Erikan Baluku, Calum Webb, Lungang Liang, Carlos Barba-Ostria, Linda P. Guaman, Liu Hui, Leonardo Rios-Solis
Format: Journal Article
Sprache:Japanisch
Veröffentlicht: Frontiers Media SA 15.09.2022
Schlagworte:
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
Online-Zugang:Volltext
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ISSN:2673-3129
DOI:10.3389/fmedt.2022.969203