Weakly supervised video-based cardiac detection for hypertensive cardiomyopathy

Weakly supervised video-based cardiac detection for hypertensive cardiomyopathy

Abstract Introduction Parameters, such as left ventricular ejection fraction, peak strain dispersion, global longitudinal strain, etc. are influential and clinically interpretable for detection of cardiac disease, while manual detection requires laborious steps and expertise. In this study, we evalu...

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Bibliographic Details
Main Authors: Jiyun Chen, Xijun Zhang, Jianjun Yuan, Renjie Shao, Conggui Gan, Qiang Ji, Wei Luo, Zhi-Feng Pang, Haohui Zhu
Format: Article
Language:English
Published: BMC 2023-10-01
Series:BMC Medical Imaging
Subjects:
Three-dimensional (3-D) convolutional neural network
Artificial intelligence
Assisted diagnosis
Echocardiographic video
Hypertensive cardiomyopathy
Online Access:https://doi.org/10.1186/s12880-023-01035-0

Internet

https://doi.org/10.1186/s12880-023-01035-0

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