Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT

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 networ...

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Detalles Bibliográficos
Autores principales: 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, Yeom, Kristen W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846563/
https://www.ncbi.nlm.nih.gov/pubmed/33514852
http://dx.doi.org/10.1038/s41746-020-00369-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846563/
https://www.ncbi.nlm.nih.gov/pubmed/33514852
http://dx.doi.org/10.1038/s41746-020-00369-1

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