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

6533b856fe1ef96bd12b2d1f

RESEARCH PRODUCT

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

Alain Lalande Jessica Lebenberg Irène Buvat Patrick Clarysse Christopher Casta Alexandre Cochet Constantin Constantinidès Jean Cousty Alain De Cesare Stéphanie Jehan-besson Muriel Lefort Laurent Najman Elodie Roullot Laurent Sarry Christophe Tilmant Mireille Garreau Frédérique Frouin

subject

[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-IM ] Computer Science [cs]/Medical Imaging [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image Processing [INFO.INFO-IM] Computer Science [cs]/Medical Imaging [INFO.INFO-IM]Computer Science [cs]/Medical Imaging

description

International audience; 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).

year	journal	country	edition	language
2012-10-04

https://hal.archives-ouvertes.fr/hal-00787512

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