A reference free approach for the comparative evaluation of eight segmentation methods for the estimation of the left ventricular ejection fraction in cardiac MRI.

Abstract : Objective evaluation and comparison of segmentation algorithms for medical imaging is still a challenging issue. The most frequently used evaluation method consists in comparing the segmentation with a manual delineation. Since obtaining such manual segmentation can be tedious, we proposed a method based on the "extended Regression Without Truth" approach (eRWT)(1). This approach is applied to the comparative evaluation of 8 segmentation algorithms with different degrees of automation from the estimated left ventricular ejection fraction (LVEF).
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Communication dans un congrès
European Society for Magnetic Resonance in Medicine and Biology (ESMRMB), Oct 2012, Lisbonne, Portugal. pp.658, 2012
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Contributeur : Alain Lalande <>
Soumis le : mardi 12 février 2013 - 18:41:27
Dernière modification le : mercredi 4 janvier 2017 - 16:21:01
Document(s) archivé(s) le : lundi 13 mai 2013 - 04:10:49

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  • HAL Id : hal-00787512, version 1

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Alain Lalande, Jessica Lebenberg, Irène Buvat, Patrick Clarysse, Christopher Casta, et al.. A reference free approach for the comparative evaluation of eight segmentation methods for the estimation of the left ventricular ejection fraction in cardiac MRI.. European Society for Magnetic Resonance in Medicine and Biology (ESMRMB), Oct 2012, Lisbonne, Portugal. pp.658, 2012. <hal-00787512>

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