Deep Learning-Based Algorithm for the Classification of Left Ventricle Segments by Hypertrophy Severity

Deep Learning-Based Algorithm for the Classification of Left Ventricle Segments by Hypertrophy Severity

In clinical practice, left ventricle hypertrophy (LVH) continues to pose a considerable challenge, highlighting the need for more reliable diagnostic approaches. This study aims to propose an automated framework for the quantification of LVH extent and the classification of myocardial segments accor...

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Bibliographic Details
Main Authors: Wafa Baccouch, Bilel Hasnaoui, Narjes Benameur, Abderrazak Jemai, Dhaker Lahidheb, Salam Labidi
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Journal of Imaging
Subjects:
left ventricle hypertrophy
automatic quantification
CNN classification
regional wall thickness
cine-MRI
Online Access:https://www.mdpi.com/2313-433X/11/7/244
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https://www.mdpi.com/2313-433X/11/7/244

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