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ECOLE SUPÉRIEURE D'ÉLECTRICITÉ Une grande école d'ingénieurs au cœur des sciences de l'information,de l'énergie et des systèmes |
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Conference papers
Unsupervised classification of skeletal fibers using diffusion maps
Abstract : In this paper, we propose an application of diffusion maps to fiber tract clustering in the human skeletal muscle. To this end, we define a metric between fiber tracts that encompasses both diffusion and localization information. This metric is incorporated in the diffusion maps framework and clustering is done in the embedding space using k-means. Experimental validation of the method is performed over a dataset of diffusion tensor images of the calf muscle of thirty subjects and comparison is done with respect to ground-truth segmentation provided by an expert.
Cited literature [14 references]
https://hal-supelec.archives-ouvertes.fr/hal-00424543
Contributor : Karine El Rassi Connect in order to contact the contributor
Submitted on : Friday, October 16, 2009 - 11:52:03 AM
Last modification on : Thursday, October 21, 2021 - 3:12:25 AM
Long-term archiving on: : Tuesday, June 15, 2010 - 8:49:24 PM
Contributor : Karine El Rassi Connect in order to contact the contributor
Submitted on : Friday, October 16, 2009 - 11:52:03 AM
Last modification on : Thursday, October 21, 2021 - 3:12:25 AM
Long-term archiving on: : Tuesday, June 15, 2010 - 8:49:24 PM
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Neji_ISBI09.pdf
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