Optical techniques, computed tomography and deep learning role in the diagnosis of COVID-19 pandemic towards increasing the survival rate of vulnerable populations

• Severe lung complications can be explored using computed tomography during COVID-19 pandemic. • Ultra-low dose CT can enhance COVID-19 infected patients diagnostic capability. • Optically monitored CT along with deep learning is the best solution for diagnosis of COVID-19 during pandemic. • CT sca...

Descripción completa

Detalles Bibliográficos
Autores principales: Qureshi, Shahzad Ahmad, Rehman, Aziz ul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834065/
https://www.ncbi.nlm.nih.gov/pubmed/32562732
http://dx.doi.org/10.1016/j.pdpdt.2020.101880
_version_ 1783642200021663744
author Qureshi, Shahzad Ahmad
Rehman, Aziz ul
author_facet Qureshi, Shahzad Ahmad
Rehman, Aziz ul
author_sort Qureshi, Shahzad Ahmad
collection PubMed
description • Severe lung complications can be explored using computed tomography during COVID-19 pandemic. • Ultra-low dose CT can enhance COVID-19 infected patients diagnostic capability. • Optically monitored CT along with deep learning is the best solution for diagnosis of COVID-19 during pandemic. • CT scans sensitivity (88 %) is preferable on clinical approach sensitivity (59 %) for COVID-19 suspected patients. • CT and Computer aided approaches helps the radiologist to make fast and accurate diagnosis during COVID-19 pandemic.
format Online
Article
Text
id pubmed-7834065
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Elsevier B.V.
record_format MEDLINE/PubMed
spelling pubmed-78340652021-01-26 Optical techniques, computed tomography and deep learning role in the diagnosis of COVID-19 pandemic towards increasing the survival rate of vulnerable populations Qureshi, Shahzad Ahmad Rehman, Aziz ul Photodiagnosis Photodyn Ther Article • Severe lung complications can be explored using computed tomography during COVID-19 pandemic. • Ultra-low dose CT can enhance COVID-19 infected patients diagnostic capability. • Optically monitored CT along with deep learning is the best solution for diagnosis of COVID-19 during pandemic. • CT scans sensitivity (88 %) is preferable on clinical approach sensitivity (59 %) for COVID-19 suspected patients. • CT and Computer aided approaches helps the radiologist to make fast and accurate diagnosis during COVID-19 pandemic. Elsevier B.V. 2020-09 2020-06-17 /pmc/articles/PMC7834065/ /pubmed/32562732 http://dx.doi.org/10.1016/j.pdpdt.2020.101880 Text en © 2020 Elsevier B.V. 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 Article
Qureshi, Shahzad Ahmad
Rehman, Aziz ul
Optical techniques, computed tomography and deep learning role in the diagnosis of COVID-19 pandemic towards increasing the survival rate of vulnerable populations
title Optical techniques, computed tomography and deep learning role in the diagnosis of COVID-19 pandemic towards increasing the survival rate of vulnerable populations
title_full Optical techniques, computed tomography and deep learning role in the diagnosis of COVID-19 pandemic towards increasing the survival rate of vulnerable populations
title_fullStr Optical techniques, computed tomography and deep learning role in the diagnosis of COVID-19 pandemic towards increasing the survival rate of vulnerable populations
title_full_unstemmed Optical techniques, computed tomography and deep learning role in the diagnosis of COVID-19 pandemic towards increasing the survival rate of vulnerable populations
title_short Optical techniques, computed tomography and deep learning role in the diagnosis of COVID-19 pandemic towards increasing the survival rate of vulnerable populations
title_sort optical techniques, computed tomography and deep learning role in the diagnosis of covid-19 pandemic towards increasing the survival rate of vulnerable populations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834065/
https://www.ncbi.nlm.nih.gov/pubmed/32562732
http://dx.doi.org/10.1016/j.pdpdt.2020.101880
work_keys_str_mv AT qureshishahzadahmad opticaltechniquescomputedtomographyanddeeplearningroleinthediagnosisofcovid19pandemictowardsincreasingthesurvivalrateofvulnerablepopulations
AT rehmanazizul opticaltechniquescomputedtomographyanddeeplearningroleinthediagnosisofcovid19pandemictowardsincreasingthesurvivalrateofvulnerablepopulations

Ejemplares similares