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The development of the COVID-19 radiological learning system (CORALS ) to improve accurate management in the COVID-19 pandemic
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Published by Elsevier Ltd.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7758724/ http://dx.doi.org/10.1016/j.crad.2020.11.041 |
| _version_ | 1783626996323975168 |
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| author | Chen, Yan Michalopoulou, Eleni Baldwin, David Hare, Sam Roy, Dorina Robinson, Graham Jacob, Joseph Devaraj, Anand Nair, Arjun O'Dowd, Emma |
| author_facet | Chen, Yan Michalopoulou, Eleni Baldwin, David Hare, Sam Roy, Dorina Robinson, Graham Jacob, Joseph Devaraj, Anand Nair, Arjun O'Dowd, Emma |
| author_sort | Chen, Yan |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-7758724 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2020 |
| publisher | Published by Elsevier Ltd. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-77587242020-12-28 The development of the COVID-19 radiological learning system (CORALS ) to improve accurate management in the COVID-19 pandemic Chen, Yan Michalopoulou, Eleni Baldwin, David Hare, Sam Roy, Dorina Robinson, Graham Jacob, Joseph Devaraj, Anand Nair, Arjun O'Dowd, Emma Clin Radiol Article Published by Elsevier Ltd. 2020-12 2020-12-24 /pmc/articles/PMC7758724/ http://dx.doi.org/10.1016/j.crad.2020.11.041 Text en Copyright © 2020 Published by Elsevier Ltd. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
| spellingShingle | Article Chen, Yan Michalopoulou, Eleni Baldwin, David Hare, Sam Roy, Dorina Robinson, Graham Jacob, Joseph Devaraj, Anand Nair, Arjun O'Dowd, Emma The development of the COVID-19 radiological learning system (CORALS ) to improve accurate management in the COVID-19 pandemic |
| title | The development of the COVID-19 radiological learning system (CORALS ) to improve accurate management in the COVID-19 pandemic |
| title_full | The development of the COVID-19 radiological learning system (CORALS ) to improve accurate management in the COVID-19 pandemic |
| title_fullStr | The development of the COVID-19 radiological learning system (CORALS ) to improve accurate management in the COVID-19 pandemic |
| title_full_unstemmed | The development of the COVID-19 radiological learning system (CORALS ) to improve accurate management in the COVID-19 pandemic |
| title_short | The development of the COVID-19 radiological learning system (CORALS ) to improve accurate management in the COVID-19 pandemic |
| title_sort | development of the covid-19 radiological learning system (corals ) to improve accurate management in the covid-19 pandemic |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7758724/ http://dx.doi.org/10.1016/j.crad.2020.11.041 |
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