Development and validation of a deep learning pipeline to measure pericardial effusion in echocardiography

Development and validation of a deep learning pipeline to measure pericardial effusion in echocardiography

ObjectivesThe aim of this study was to develop a deep-learning pipeline for the measurement of pericardial effusion (PE) based on raw echocardiography clips, as current methods for PE measurement can be operator-dependent and present challenges in certain situations.MethodsThe proposed pipeline cons...

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Bibliographic Details
Main Authors: Chi-Yung Cheng, Cheng-Ching Wu, Huang-Chung Chen, Chun-Hui Hung, Tien-Yu Chen, Chun-Hung Richard Lin, I-Min Chiu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
echocardiography
deep learning—artificial intelligence
pericardial effusion (PE)
width measurements
automated segmentation
moving window (MW)
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2023.1195235/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2023.1195235/full

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