Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest...
Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT
About this item
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Author / Creator
Lee, Edward H. , Zheng, Jimmy , Colak, Errol , Mohammadzadeh, Maryam , Houshmand, Golnaz , Bevins, Nicholas , Kitamura, Felipe , Altinmakas, Emre , Reis, Eduardo Pontes , Kim, Jae-Kwang , Klochko, Chad , Han, Michelle , Moradian, Sadegh , Mohammadzadeh, Ali , Sharifian, Hashem , Hashemi, Hassan , Firouznia, Kavous , Ghanaati, Hossien , Gity, Masoumeh , Doğan, Hakan , Salehinejad, Hojjat , Alves, Henrique , Seekins, Jayne , Abdala, Nitamar , Atasoy, Çetin , Pouraliakbar, Hamidreza , Maleki, Majid , Wong, S. Simon and Yeom, Kristen W.
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publication information
Publisher
London: Nature Publishing Group UK
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More information
Scope and Contents
Contents
The Coronavirus disease 2019 (COVID-19) presents open questions in how we clinically diagnose and assess disease course. Recently, chest computed tomography (CT) has shown utility for COVID-19 diagnosis. In this study, we developed Deep COVID DeteCT (DCD), a deep learning convolutional neural network (CNN) that uses the entire chest CT volume to au...
Alternative Titles
Full title
Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT
Authors, Artists and Contributors
Author / Creator
Zheng, Jimmy
Colak, Errol
Mohammadzadeh, Maryam
Houshmand, Golnaz
Bevins, Nicholas
Kitamura, Felipe
Altinmakas, Emre
Reis, Eduardo Pontes
Kim, Jae-Kwang
Klochko, Chad
Han, Michelle
Moradian, Sadegh
Mohammadzadeh, Ali
Sharifian, Hashem
Hashemi, Hassan
Firouznia, Kavous
Ghanaati, Hossien
Gity, Masoumeh
Doğan, Hakan
Salehinejad, Hojjat
Alves, Henrique
Seekins, Jayne
Abdala, Nitamar
Atasoy, Çetin
Pouraliakbar, Hamidreza
Maleki, Majid
Wong, S. Simon
Yeom, Kristen W.
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_b8cdd6ddc1174a5a86416c48a44db3cc
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b8cdd6ddc1174a5a86416c48a44db3cc
Other Identifiers
ISSN
2398-6352
E-ISSN
2398-6352
DOI
10.1038/s41746-020-00369-1