Comparison Of Brain Tissue Classification Algorithms With The Use Of Multimodal Efficiency Measure

Investor logo


Year of publication 2008
Type Article in Proceedings
Conference Analysis of Biomedical Signals and Images - Proceedings of 19th Biennal International Eurasip Conference BIOSIGNAL 2008
MU Faculty or unit

Faculty of Medicine

Field Use of computers, robotics and its application
Keywords computational neuroanatomy;image analysis;classification;segmentation
Description A multimodal measure for comparison of efficiency of classification algorithms is proposed. The algorithms selected for brain tissue classification in 3-D MRI images are the well-known k-NN and k-means classifiers which were adapted to the image data in the common stereotaxic space. The efficiency measure combines Jaccard coefficient, modified Rand index and Connectivity coefficient. Results are presented in 3-D plots with the use of ellipsoids instead of frequently used 1-D plots or tables.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.

More info