Deep learning for automated left ventricular outflow tract diameter measurements in 2D echocardiography

BACKGROUND: Measurement of the left ventricular outflow tract diameter (LVOTd) in echocardiography is a common source of error when used to calculate the stroke volume. The aim of this study is to assess whether a deep learning (DL) model, trained on a clinical echocardiographic dataset, can perform...

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Detalles Bibliográficos
Autores principales: Zha, Sigurd Zijun, Rogstadkjernet, Magnus, Klæboe, Lars Gunnar, Skulstad, Helge, Singstad, Bjørn-Jostein, Gilbert, Andrew, Edvardsen, Thor, Samset, Eigil, Brekke, Pål Haugar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571406/
https://www.ncbi.nlm.nih.gov/pubmed/37833731
http://dx.doi.org/10.1186/s12947-023-00317-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571406/
https://www.ncbi.nlm.nih.gov/pubmed/37833731
http://dx.doi.org/10.1186/s12947-023-00317-5

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