Development and Validation of an Automated Radiomic CT Signature for Detecting COVID-19

Development and Validation of an Automated Radiomic CT Signature for Detecting COVID-19

The coronavirus disease 2019 (COVID-19) outbreak has reached pandemic status. Drastic measures of social distancing are enforced in society and healthcare systems are being pushed to and beyond their limits. To help in the fight against this threat on human health, a fully automated AI framework was...

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Bibliographic Details
Main Authors: Julien Guiot, Akshayaa Vaidyanathan, Louis Deprez, Fadila Zerka, Denis Danthine, Anne-Noëlle Frix, Marie Thys, Monique Henket, Gregory Canivet, Stephane Mathieu, Evanthia Eftaxia, Philippe Lambin, Nathan Tsoutzidis, Benjamin Miraglio, Sean Walsh, Michel Moutschen, Renaud Louis, Paul Meunier, Wim Vos, Ralph T. H. Leijenaar, Pierre Lovinfosse
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Diagnostics
Subjects:
artificial intelligence
machine learning
computed tomography
COVID-19
radiomics
Online Access:https://www.mdpi.com/2075-4418/11/1/41

Internet

https://www.mdpi.com/2075-4418/11/1/41

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