COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning

Measurement(s) Low Dose Computed Tomography of the Chest • viral infectious disease Technology Type(s) digital curation • image processing technique Factor Type(s) sex • gender • age group • weight • clinical characteristics • covid-19 RT-PCR result • follow-up data Sample Characteristic - Organism...

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Autores principales: Parnian Afshar, Shahin Heidarian, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Faranak Babaki Fard, Kaveh Samimi, Konstantinos N. Plataniotis, Arash Mohammadi
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/086f566e902c45d4b2ebd8c2a8626843
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spelling oai:doaj.org-article:086f566e902c45d4b2ebd8c2a86268432021-12-02T14:53:43ZCOVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning10.1038/s41597-021-00900-32052-4463https://doaj.org/article/086f566e902c45d4b2ebd8c2a86268432021-04-01T00:00:00Zhttps://doi.org/10.1038/s41597-021-00900-3https://doaj.org/toc/2052-4463Measurement(s) Low Dose Computed Tomography of the Chest • viral infectious disease Technology Type(s) digital curation • image processing technique Factor Type(s) sex • gender • age group • weight • clinical characteristics • covid-19 RT-PCR result • follow-up data Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.13583015Parnian AfsharShahin HeidarianNastaran EnshaeiFarnoosh NaderkhaniMoezedin Javad RafieeAnastasia OikonomouFaranak Babaki FardKaveh SamimiKonstantinos N. PlataniotisArash MohammadiNature PortfolioarticleScienceQENScientific Data, Vol 8, Iss 1, Pp 1-8 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Parnian Afshar
Shahin Heidarian
Nastaran Enshaei
Farnoosh Naderkhani
Moezedin Javad Rafiee
Anastasia Oikonomou
Faranak Babaki Fard
Kaveh Samimi
Konstantinos N. Plataniotis
Arash Mohammadi
COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning
description Measurement(s) Low Dose Computed Tomography of the Chest • viral infectious disease Technology Type(s) digital curation • image processing technique Factor Type(s) sex • gender • age group • weight • clinical characteristics • covid-19 RT-PCR result • follow-up data Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.13583015
format article
author Parnian Afshar
Shahin Heidarian
Nastaran Enshaei
Farnoosh Naderkhani
Moezedin Javad Rafiee
Anastasia Oikonomou
Faranak Babaki Fard
Kaveh Samimi
Konstantinos N. Plataniotis
Arash Mohammadi
author_facet Parnian Afshar
Shahin Heidarian
Nastaran Enshaei
Farnoosh Naderkhani
Moezedin Javad Rafiee
Anastasia Oikonomou
Faranak Babaki Fard
Kaveh Samimi
Konstantinos N. Plataniotis
Arash Mohammadi
author_sort Parnian Afshar
title COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning
title_short COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning
title_full COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning
title_fullStr COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning
title_full_unstemmed COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning
title_sort covid-ct-md, covid-19 computed tomography scan dataset applicable in machine learning and deep learning
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/086f566e902c45d4b2ebd8c2a8626843
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