Segmentation-Free Estimation of Left Ventricular Ejection Fraction Using 3D CNN Is Reliable and Improves as Multiple Cardiac MRI Cine Orientations Are Combined.

Date publication

octobre 2024

Journal

Biomedicines

Auteurs

Membres identifiés du Cancéropôle Est :
Pr ROY Catherine

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

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/39457634

Résumé

We aimed to study classical, publicly available convolutional neural networks (3D-CNNs) using a combination of several cine-MR orientation planes for the estimation of left ventricular ejection fraction (LVEF) without contour tracing.

Mots clés

cardiac MRI, convolutional neural network, deep learning, inter-method discrepancy, left ventricular ejection fraction, multiple orientations combination

Référence

Biomedicines. 2024 10 12;12(10):