Machine learning algorithm using publicly available echo database for simplified “visual estimation” of left ventricular ejection fraction

BACKGROUND: Left ventricular ejection fraction calculation automation typically requires complex algorithms and is dependent of optimal visualization and tracing of endocardial borders. This significantly limits usability in bedside clinical applications, where ultrasound automation is needed most....

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Detalles Bibliográficos
Autores principales: Blaivas, Michael, Blaivas, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2022
Materias:
Basic Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8968469/
https://www.ncbi.nlm.nih.gov/pubmed/35433318
http://dx.doi.org/10.5493/wjem.v12.i2.16

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8968469/
https://www.ncbi.nlm.nih.gov/pubmed/35433318
http://dx.doi.org/10.5493/wjem.v12.i2.16

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