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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Udgivet i: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
Format: Artigo
Sprog:Inglês
Udgivet: Springer Berlin Heidelberg 2021
Fag:
Imaging Informatics and Artificial Intelligence
Online adgang: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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