Using imaging to combat a pandemic: rationale for developing the UK National COVID-19 Chest Imaging Database

The National COVID-19 Chest Imaging Database (NCCID) is a repository of chest radiographs, CT and MRI images and clinical data from COVID-19 patients across the UK, to support research and development of AI technology and give insight into COVID-19 disease https://bit.ly/3eQeuha

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Bibliographische Detailangaben
Veröffentlicht in:	The European respiratory journal 2020-08, Vol.56 (2), p.2001809
Hauptverfasser:	Jacob, Joseph, Alexander, Daniel, Baillie, J Kenneth, Berka, Rosalind, Bertolli, Ottavia, Blackwood, James, Buchan, Iain, Bloomfield, Claire, Cushnan, Dominic, Docherty, Annemarie, Edey, Anthony, Favaro, Alberto, Gleeson, Fergus, Halling-Brown, Mark, Hare, Samanjit, Jefferson, Emily, Johnstone, Annette, Kirby, Myles, McStay, Ruth, Nair, Arjun, Openshaw, Peter J M, Parker, Geoff, Reilly, Gerry, Robinson, Graham, Roditi, Giles, Rodrigues, Jonathan C L, Sebire, Neil, Semple, Malcolm G, Sudlow, Catherine, Woznitza, Nick, Joshi, Indra
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence - statistics & numerical data Communicable Diseases, Emerging - diagnostic imaging Communicable Diseases, Emerging - epidemiology Coronavirus Infections - diagnostic imaging Coronavirus Infections - epidemiology COVID-19 Databases, Factual - statistics & numerical data Diagnostic Imaging - methods Diagnostic Imaging - statistics & numerical data Female Humans Male Pandemics - statistics & numerical data Pneumonia, Viral - diagnostic imaging Pneumonia, Viral - epidemiology Program Development Radiography, Thoracic - methods Radiography, Thoracic - statistics & numerical data Research Highlights Tomography, X-Ray Computed - methods Tomography, X-Ray Computed - statistics & numerical data United Kingdom
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Beschreibung
Zusammenfassung:	The National COVID-19 Chest Imaging Database (NCCID) is a repository of chest radiographs, CT and MRI images and clinical data from COVID-19 patients across the UK, to support research and development of AI technology and give insight into COVID-19 disease https://bit.ly/3eQeuha
ISSN:	0903-1936 1399-3003
DOI:	10.1183/13993003.01809-2020