Original paper
Deep learning algorithm to improve hypertrophic cardiomyopathy mutation prediction using cardiac cine images
Abstract
The high variability of hypertrophic cardiomyopathy (HCM) genetic phenotypes has prompted the establishment of risk-stratification systems that predict the risk of a positive genetic mutation based on clinical and echocardiographic profiles. This study aims to improve mutation-risk prediction by extracting cardiovascular magnetic resonance (CMR) morphological features using a deep learning algorithm. We recruited 198 HCM patients (48% men, aged...
Paper Details
Title
Deep learning algorithm to improve hypertrophic cardiomyopathy mutation prediction using cardiac cine images
Published Date
Nov 25, 2020
Journal
Volume
31
Issue
6
Pages
3931 - 3940
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