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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