RAMAS-Net: a module-optimized convolutional network model for aortic valve stenosis recognition in echocardiography

RAMAS-Net: a module-optimized convolutional network model for aortic valve stenosis recognition in echocardiography

IntroductionAortic stenosis (AS) is a valvular heart disease that obstructs normal blood flow from the left ventricle to the aorta due to pathological changes in the valve, leading to impaired cardiac function. Echocardiography is a key diagnostic tool for AS; however, its accuracy is influenced by...

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Bibliographic Details
Main Authors: Yejia Gan, Wanzhong Huang, Yan Deng, Xiaoying Xie, Yuanyuan Gu, Yaozhuang Zhou, Qian Zhang, Maosheng Zhang, Yangchun Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Medicine
Subjects:
deep learning
aortic valve stenosis
cardiovascular disease
echocardiography
transthoracic-echocardiography
artificial intelligence
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1587307/full
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https://www.frontiersin.org/articles/10.3389/fmed.2025.1587307/full

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