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Pneumocystis pneumonia: An important consideration when investigating artificial intelligence-based methods in the radiological diagnosis of COVID-19
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Inc.
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7997693/ https://www.ncbi.nlm.nih.gov/pubmed/33810937 http://dx.doi.org/10.1016/j.clinimag.2021.02.044 |
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| author | Lampejo, Temi |
| author_facet | Lampejo, Temi |
| author_sort | Lampejo, Temi |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-7997693 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Elsevier Inc. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-79976932021-03-29 Pneumocystis pneumonia: An important consideration when investigating artificial intelligence-based methods in the radiological diagnosis of COVID-19 Lampejo, Temi Clin Imaging Letter to the Editor Elsevier Inc. 2022-05 2021-03-26 /pmc/articles/PMC7997693/ /pubmed/33810937 http://dx.doi.org/10.1016/j.clinimag.2021.02.044 Text en © 2021 Elsevier Inc. All rights reserved. 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 | Letter to the Editor Lampejo, Temi Pneumocystis pneumonia: An important consideration when investigating artificial intelligence-based methods in the radiological diagnosis of COVID-19 |
| title | Pneumocystis pneumonia: An important consideration when investigating artificial intelligence-based methods in the radiological diagnosis of COVID-19 |
| title_full | Pneumocystis pneumonia: An important consideration when investigating artificial intelligence-based methods in the radiological diagnosis of COVID-19 |
| title_fullStr | Pneumocystis pneumonia: An important consideration when investigating artificial intelligence-based methods in the radiological diagnosis of COVID-19 |
| title_full_unstemmed | Pneumocystis pneumonia: An important consideration when investigating artificial intelligence-based methods in the radiological diagnosis of COVID-19 |
| title_short | Pneumocystis pneumonia: An important consideration when investigating artificial intelligence-based methods in the radiological diagnosis of COVID-19 |
| title_sort | pneumocystis pneumonia: an important consideration when investigating artificial intelligence-based methods in the radiological diagnosis of covid-19 |
| topic | Letter to the Editor |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7997693/ https://www.ncbi.nlm.nih.gov/pubmed/33810937 http://dx.doi.org/10.1016/j.clinimag.2021.02.044 |
| work_keys_str_mv | AT lampejotemi pneumocystispneumoniaanimportantconsiderationwheninvestigatingartificialintelligencebasedmethodsintheradiologicaldiagnosisofcovid19 |