Using deep learning method to identify left ventricular hypertrophy on echocardiography

• Published in: The international journal of cardiovascular imaging Vol. 38; no. 4; pp. 759 - 769
• Main Authors: Yu, Xiang, Yao, Xinxia, Wu, Bifeng, Zhou, Hong, Xia, Shudong, Su, Wenwen, Wu, Yuanyuan, Zheng, Xiaoye
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.04.2022; Springer Nature B.V
• Subjects: Algorithms; Amyloidosis; Cardiac Imaging; Cardiology; Cardiomyopathy; Cardiovascular diseases; Classification; Coronary artery disease; Deep learning; Echocardiography; Etiology; Heart diseases; Hypertrophy; Identification methods; Imaging; Machine learning; Medicine; Medicine & Public Health; Original Paper; Radiology; Segmentation; Sensitivity; Ventricle; Deep learning; Echocardiography; Left ventricular hypertrophy

Background Left ventricular hypertrophy (LVH) is an independent prognostic factor for cardiovascular events and it can be detected by echocardiography in the early stage. In this study, we aim to develop a semi-automatic diagnostic network based on deep learning algorithms to detect LVH. Methods We...