Machine learning automatically detects COVID-19 using chest CTs in a large multicenter cohort

OBJECTIVES: To investigate machine learning classifiers and interpretable models using chest CT for detection of COVID-19 and differentiation from other pneumonias, interstitial lung disease (ILD) and normal CTs. METHODS: Our retrospective multi-institutional study obtained 2446 chest CTs from 16 in...

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Detalles Bibliográficos
Autores principales: Mortani Barbosa, Eduardo J., Georgescu, Bogdan, Chaganti, Shikha, Aleman, Gorka Bastarrika, Cabrero, Jordi Broncano, Chabin, Guillaume, Flohr, Thomas, Grenier, Philippe, Grbic, Sasa, Gupta, Nakul, Mellot, François, Nicolaou, Savvas, Re, Thomas, Sanelli, Pina, Sauter, Alexander W., Yoo, Youngjin, Ziebandt, Valentin, Comaniciu, Dorin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8088310/
https://www.ncbi.nlm.nih.gov/pubmed/33934177
http://dx.doi.org/10.1007/s00330-021-07937-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8088310/
https://www.ncbi.nlm.nih.gov/pubmed/33934177
http://dx.doi.org/10.1007/s00330-021-07937-3

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