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ATLAS VALIDATION FOR AUTOMATIC LUNGS SEGMENTATION AND FUNCTIONAL SUBREGIONS IDENTIFICATION IN COVID-19 PATIENTS: AN APPROACH COMBINED WITH QUANTITATIVE DENSITOMETRY
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Associazione Italiana di Fisica Medica e Sanitaria. Published by Elsevier Ltd.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9747727/ http://dx.doi.org/10.1016/S1120-1797(22)02318-3 |
| _version_ | 1784849668161667072 |
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| author | Mori, Martina Alborghetti, Lisa Palumbo, Diego Broggi, Sara Raspanti, Davide Querini, Patrizia Rovere Del Vecchio, Antonella De Cobelli, Francesco Fiorino, Claudio |
| author_facet | Mori, Martina Alborghetti, Lisa Palumbo, Diego Broggi, Sara Raspanti, Davide Querini, Patrizia Rovere Del Vecchio, Antonella De Cobelli, Francesco Fiorino, Claudio |
| author_sort | Mori, Martina |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9747727 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Associazione Italiana di Fisica Medica e Sanitaria. Published by Elsevier Ltd. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-97477272022-12-14 ATLAS VALIDATION FOR AUTOMATIC LUNGS SEGMENTATION AND FUNCTIONAL SUBREGIONS IDENTIFICATION IN COVID-19 PATIENTS: AN APPROACH COMBINED WITH QUANTITATIVE DENSITOMETRY Mori, Martina Alborghetti, Lisa Palumbo, Diego Broggi, Sara Raspanti, Davide Querini, Patrizia Rovere Del Vecchio, Antonella De Cobelli, Francesco Fiorino, Claudio Phys Med Poster Abstracts–Dir Associazione Italiana di Fisica Medica e Sanitaria. Published by Elsevier Ltd. 2022-12 2022-12-14 /pmc/articles/PMC9747727/ http://dx.doi.org/10.1016/S1120-1797(22)02318-3 Text en Copyright © 2022 Associazione Italiana di Fisica Medica e Sanitaria. Published by Elsevier Ltd. 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 | Poster Abstracts–Dir Mori, Martina Alborghetti, Lisa Palumbo, Diego Broggi, Sara Raspanti, Davide Querini, Patrizia Rovere Del Vecchio, Antonella De Cobelli, Francesco Fiorino, Claudio ATLAS VALIDATION FOR AUTOMATIC LUNGS SEGMENTATION AND FUNCTIONAL SUBREGIONS IDENTIFICATION IN COVID-19 PATIENTS: AN APPROACH COMBINED WITH QUANTITATIVE DENSITOMETRY |
| title | ATLAS VALIDATION FOR AUTOMATIC LUNGS SEGMENTATION AND FUNCTIONAL SUBREGIONS IDENTIFICATION IN COVID-19 PATIENTS: AN APPROACH COMBINED WITH QUANTITATIVE DENSITOMETRY |
| title_full | ATLAS VALIDATION FOR AUTOMATIC LUNGS SEGMENTATION AND FUNCTIONAL SUBREGIONS IDENTIFICATION IN COVID-19 PATIENTS: AN APPROACH COMBINED WITH QUANTITATIVE DENSITOMETRY |
| title_fullStr | ATLAS VALIDATION FOR AUTOMATIC LUNGS SEGMENTATION AND FUNCTIONAL SUBREGIONS IDENTIFICATION IN COVID-19 PATIENTS: AN APPROACH COMBINED WITH QUANTITATIVE DENSITOMETRY |
| title_full_unstemmed | ATLAS VALIDATION FOR AUTOMATIC LUNGS SEGMENTATION AND FUNCTIONAL SUBREGIONS IDENTIFICATION IN COVID-19 PATIENTS: AN APPROACH COMBINED WITH QUANTITATIVE DENSITOMETRY |
| title_short | ATLAS VALIDATION FOR AUTOMATIC LUNGS SEGMENTATION AND FUNCTIONAL SUBREGIONS IDENTIFICATION IN COVID-19 PATIENTS: AN APPROACH COMBINED WITH QUANTITATIVE DENSITOMETRY |
| title_sort | atlas validation for automatic lungs segmentation and functional subregions identification in covid-19 patients: an approach combined with quantitative densitometry |
| topic | Poster Abstracts–Dir |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9747727/ http://dx.doi.org/10.1016/S1120-1797(22)02318-3 |
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