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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Detalhes bibliográficos
Publicado no:Eur Radiol
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: Springer Berlin Heidelberg 2021
Assuntos:
Imaging Informatics and Artificial Intelligence
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8088310/
https://ncbi.nlm.nih.gov/pubmed/33934177
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-021-07937-3
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