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Conference papers
Comparison of different segmentation approaches without using gold standard. Application to the estimation of the left ventricle ejection fraction from cardiac cine MRI sequences.
Abstract : A statistical method is proposed to compare several estimates of a relevant clinical parameter when no gold standard is available. The method is illustrated by considering the left ventricle ejection fraction derived from cardiac magnetic resonance images and computed using seven approaches with different degrees of automation. The proposed method did not use any a priori regarding with the reliability of each method and its degree of automation. The results showed that the most accurate estimates of the ejection fraction were obtained using manual segmentations, followed by the semiautomatic methods, while the methods with the least user input yielded the least accurate ejection fraction estimates. These results were consistent with the expected performance of the estimation methods, suggesting that the proposed statistical approach might be helpful to assess the performance of estimation methods on clinical data for which no gold standard is available.
Cited literature [11 references]
https://www.hal.inserm.fr/inserm-00773261
Contributor : Lotfi Senhadji Connect in order to contact the contributor
Submitted on : Saturday, January 12, 2013 - 2:53:10 PM
Last modification on : Sunday, June 26, 2022 - 12:42:49 AM
Long-term archiving on: : Saturday, April 13, 2013 - 4:07:55 AM
Contributor : Lotfi Senhadji Connect in order to contact the contributor
Submitted on : Saturday, January 12, 2013 - 2:53:10 PM
Last modification on : Sunday, June 26, 2022 - 12:42:49 AM
Long-term archiving on: : Saturday, April 13, 2013 - 4:07:55 AM
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