Deep Learning Supplants Visual Analysis by Experienced Operators for the Diagnosis of Cardiac Amyloidosis by Cine-CMR

Deep Learning Supplants Visual Analysis by Experienced Operators for the Diagnosis of Cardiac Amyloidosis by Cine-CMR

Background: Diagnosing cardiac amyloidosis (CA) from cine-CMR (cardiac magnetic resonance) alone is not reliable. In this study, we tested if a convolutional neural network (CNN) could outperform the visual diagnosis of experienced operators. Method: 119 patients with cardiac amyloidosis and 122 pat...

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Bibliographic Details
Main Authors: Philippe Germain, Armine Vardazaryan, Nicolas Padoy, Aissam Labani, Catherine Roy, Thomas Hellmut Schindler, Soraya El Ghannudi
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Diagnostics
Subjects:
cardiac amyloidosis
AL/TTR amyloidosis
hypertrophic cardiomyopathy
left ventricular hypertrophy
deep learning
convolutional neural network
Online Access:https://www.mdpi.com/2075-4418/12/1/69

Internet

https://www.mdpi.com/2075-4418/12/1/69

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