Machine learning applied on chest x-ray can aid in the diagnosis of COVID-19: a first experience from Lombardy, Italy

Machine learning applied on chest x-ray can aid in the diagnosis of COVID-19: a first experience from Lombardy, Italy

Abstract Background We aimed to train and test a deep learning classifier to support the diagnosis of coronavirus disease 2019 (COVID-19) using chest x-ray (CXR) on a cohort of subjects from two hospitals in Lombardy, Italy. Methods We used for training and validation an ensemble of ten convolutiona...

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Bibliographic Details
Main Authors: Isabella Castiglioni, Davide Ippolito, Matteo Interlenghi, Caterina Beatrice Monti, Christian Salvatore, Simone Schiaffino, Annalisa Polidori, Davide Gandola, Cristina Messa, Francesco Sardanelli
Format: Article
Language:English
Published: SpringerOpen 2021-02-01
Series:European Radiology Experimental
Subjects:
Artificial intelligence
COVID-19
Neural networks (computer)
Sensitivity and specificity
X-rays
Online Access:https://doi.org/10.1186/s41747-020-00203-z

Internet

https://doi.org/10.1186/s41747-020-00203-z

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