Evaluation of state-of-the-art deep learning models in the segmentation of the left and right ventricles in parasternal short-axis echocardiograms

Deep-learning models are suitable for the segmentation of the left and right ventricles in PSAX-echo. We demonstrated that domain-specific trained models such as Unet-ResNet provide higher accuracy for echo segmentation than general-domain segmentation models when working with small and locally acquired datasets.

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Publication Details

Journal
Journal of Medical Imaging
Published
2025-03-26
DOI
https://doi.org/10.1117/1.jmi.12.2.024002
Citations
5
Primary Topic
Cardiovascular Function and Risk Factors
Type
article
Field-Weighted Citation Impact
6.94

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article

Evaluation of state-of-the-art deep learning models in the segmentation of the left and right ventricles in parasternal short-axis echocardiograms

Jutta Wendling, Manjula V. Burri, Juan Rodríguez Cuéllar, Jon D. Klingensmith et al.
5 citations
Journal of Medical Imaging
Cardiovascular Function and Risk Factors
6.94
article

Evaluation of state-of-the-art deep learning models in the segmentation of the left and right ventricles in parasternal short-axis echocardiograms

Jutta Wendling, Manjula V. Burri, Juan Rodríguez Cuéllar, Jon D. Klingensmith, Vu Dinh, Julie Roelandts
article en
5 citations

Abstract

Deep-learning models are suitable for the segmentation of the left and right ventricles in PSAX-echo. We demonstrated that domain-specific trained models such as Unet-ResNet provide higher accuracy for echo segmentation than general-domain segmentation models when working with small and locally acquired datasets.

Journal of Medical ImagingVol. 12(02)
St Louis Community College (US), Johns Hopkins University (US), Johns Hopkins Medicine (US), Columbus Regional Healthcare System (US), Southern Illinois University Edwardsville (US)
American Heart Association
Good health and well-being
Openalex Percentile: Top 3%
Cardiovascular Function and Risk Factors
6.94
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Evaluation of state-of-the-art deep learning models in the segmentation of the left and right ventricles in parasternal short-axis echocardiograms — Jutta Wendling, Manjula V. Burri, et al. · Journal of Medical Imaging (2025) | TGRS Research Map | TGRS