MITEA: A dataset for machine learning segmentation of the left ventricle in 3D echocardiography using subject-specific labels from cardiac magnetic resonance imaging

MITEA: A dataset for machine learning segmentation of the left ventricle in 3D echocardiography using subject-specific labels from cardiac magnetic resonance imaging

Segmentation of the left ventricle (LV) in echocardiography is an important task for the quantification of volume and mass in heart disease. Continuing advances in echocardiography have extended imaging capabilities into the 3D domain, subsequently overcoming the geometric assumptions associated wit...

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Bibliographic Details
Main Authors: Debbie Zhao, Edward Ferdian, Gonzalo D. Maso Talou, Gina M. Quill, Kathleen Gilbert, Vicky Y. Wang, Thiranja P. Babarenda Gamage, João Pedrosa, Jan D’hooge, Timothy M. Sutton, Boris S. Lowe, Malcolm E. Legget, Peter N. Ruygrok, Robert N. Doughty, Oscar Camara, Alistair A. Young, Martyn P. Nash
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
3D echocardiography (3DE)
machine learning (ML)
segmentation (image processing)
left ventricle (LV)
multimodal imaging
cardiac magnetic resonance (CMR) imaging
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.1016703/full

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https://www.frontiersin.org/articles/10.3389/fcvm.2022.1016703/full

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