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COMPARISON OF THREE DIFFERENT AI-BASED SOFTWARE FOR QUANTIFICATION OF LUNG PARENCHYMA IN PATIENTS WITH COVID-19
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American College of Chest Physicians. Published by Elsevier Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9212408/ http://dx.doi.org/10.1016/j.chest.2022.04.114 |
_version_ | 1784730582018686976 |
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author | NICOLÒ, M. RISOLI, C. ADRAMAN, A. COLOMBI, D. RAPACIOLI, F. MOIA, M. GRAZIOLI, L. DI TERLIZZI, M. AMBROSINI, R. MARTINI, C. |
author_facet | NICOLÒ, M. RISOLI, C. ADRAMAN, A. COLOMBI, D. RAPACIOLI, F. MOIA, M. GRAZIOLI, L. DI TERLIZZI, M. AMBROSINI, R. MARTINI, C. |
author_sort | NICOLÒ, M. |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-9212408 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American College of Chest Physicians. Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92124082022-06-22 COMPARISON OF THREE DIFFERENT AI-BASED SOFTWARE FOR QUANTIFICATION OF LUNG PARENCHYMA IN PATIENTS WITH COVID-19 NICOLÒ, M. RISOLI, C. ADRAMAN, A. COLOMBI, D. RAPACIOLI, F. MOIA, M. GRAZIOLI, L. DI TERLIZZI, M. AMBROSINI, R. MARTINI, C. Chest E-Poster Viewing Abstract American College of Chest Physicians. Published by Elsevier Inc. 2022-06 2022-06-20 /pmc/articles/PMC9212408/ http://dx.doi.org/10.1016/j.chest.2022.04.114 Text en Copyright © 2022 American College of Chest Physicians. Published by 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 | E-Poster Viewing Abstract NICOLÒ, M. RISOLI, C. ADRAMAN, A. COLOMBI, D. RAPACIOLI, F. MOIA, M. GRAZIOLI, L. DI TERLIZZI, M. AMBROSINI, R. MARTINI, C. COMPARISON OF THREE DIFFERENT AI-BASED SOFTWARE FOR QUANTIFICATION OF LUNG PARENCHYMA IN PATIENTS WITH COVID-19 |
title | COMPARISON OF THREE DIFFERENT AI-BASED SOFTWARE FOR QUANTIFICATION OF LUNG PARENCHYMA IN PATIENTS WITH COVID-19 |
title_full | COMPARISON OF THREE DIFFERENT AI-BASED SOFTWARE FOR QUANTIFICATION OF LUNG PARENCHYMA IN PATIENTS WITH COVID-19 |
title_fullStr | COMPARISON OF THREE DIFFERENT AI-BASED SOFTWARE FOR QUANTIFICATION OF LUNG PARENCHYMA IN PATIENTS WITH COVID-19 |
title_full_unstemmed | COMPARISON OF THREE DIFFERENT AI-BASED SOFTWARE FOR QUANTIFICATION OF LUNG PARENCHYMA IN PATIENTS WITH COVID-19 |
title_short | COMPARISON OF THREE DIFFERENT AI-BASED SOFTWARE FOR QUANTIFICATION OF LUNG PARENCHYMA IN PATIENTS WITH COVID-19 |
title_sort | comparison of three different ai-based software for quantification of lung parenchyma in patients with covid-19 |
topic | E-Poster Viewing Abstract |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9212408/ http://dx.doi.org/10.1016/j.chest.2022.04.114 |
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