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

Date publication

décembre 2021

Journal

Diagnostics (Basel, Switzerland)

Auteurs

Membres identifiés du Cancéropôle Est :
Pr ROY Catherine

Tous les auteurs :
Germain P, Vardazaryan A, Padoy N, Labani A, Roy C, Schindler TH, El Ghannudi S

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/35054236

Résumé

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.

Mots clés

AL/TTR amyloidosis, cardiac amyloidosis, convolutional neural network, deep learning, hypertrophic cardiomyopathy, left ventricular hypertrophy

Référence

Diagnostics (Basel). 2021 Dec 29;12(1):