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

OBJECTIVES: The 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. METHODS: The proposed pipeline...

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Detalles Bibliográficos
Autores principales: Cheng, Chi-Yung, Wu, Cheng-Ching, Chen, Huang-Chung, Hung, Chun-Hui, Chen, Tien-Yu, Lin, Chun-Hung Richard, Chiu, I-Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10436508/
https://www.ncbi.nlm.nih.gov/pubmed/37600054
http://dx.doi.org/10.3389/fcvm.2023.1195235

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10436508/
https://www.ncbi.nlm.nih.gov/pubmed/37600054
http://dx.doi.org/10.3389/fcvm.2023.1195235

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