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Lack of AI-based method for pneumocystis pneumonia classification in radiological diagnosis of SARS-CoV-2
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059283/ https://www.ncbi.nlm.nih.gov/pubmed/33895561 http://dx.doi.org/10.1016/j.clinimag.2021.03.037 |
| _version_ | 1783681170467192832 |
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| author | Benameur, Narjes Mahmoudi, Ramzi Zaid, Soraya Arous, Younes Hmida, Badii Migaou, Asma Bedoui, Mohamed Hedi |
| author_facet | Benameur, Narjes Mahmoudi, Ramzi Zaid, Soraya Arous, Younes Hmida, Badii Migaou, Asma Bedoui, Mohamed Hedi |
| author_sort | Benameur, Narjes |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8059283 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | Elsevier Inc. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-80592832021-04-22 Lack of AI-based method for pneumocystis pneumonia classification in radiological diagnosis of SARS-CoV-2 Benameur, Narjes Mahmoudi, Ramzi Zaid, Soraya Arous, Younes Hmida, Badii Migaou, Asma Bedoui, Mohamed Hedi Clin Imaging Breast Imaging Elsevier Inc. 2021-11 2021-04-21 /pmc/articles/PMC8059283/ /pubmed/33895561 http://dx.doi.org/10.1016/j.clinimag.2021.03.037 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 | Breast Imaging Benameur, Narjes Mahmoudi, Ramzi Zaid, Soraya Arous, Younes Hmida, Badii Migaou, Asma Bedoui, Mohamed Hedi Lack of AI-based method for pneumocystis pneumonia classification in radiological diagnosis of SARS-CoV-2 |
| title | Lack of AI-based method for pneumocystis pneumonia classification in radiological diagnosis of SARS-CoV-2 |
| title_full | Lack of AI-based method for pneumocystis pneumonia classification in radiological diagnosis of SARS-CoV-2 |
| title_fullStr | Lack of AI-based method for pneumocystis pneumonia classification in radiological diagnosis of SARS-CoV-2 |
| title_full_unstemmed | Lack of AI-based method for pneumocystis pneumonia classification in radiological diagnosis of SARS-CoV-2 |
| title_short | Lack of AI-based method for pneumocystis pneumonia classification in radiological diagnosis of SARS-CoV-2 |
| title_sort | lack of ai-based method for pneumocystis pneumonia classification in radiological diagnosis of sars-cov-2 |
| topic | Breast Imaging |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059283/ https://www.ncbi.nlm.nih.gov/pubmed/33895561 http://dx.doi.org/10.1016/j.clinimag.2021.03.037 |
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