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

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Original title:Comparison Of Brain Tissue Classification Algorithms With The Use Of Multimodal Efficiency Measure
Authors:Eva Janoušová, Daniel Schwarz
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Original language:English
Field:Use of computers, robotics and its application
Type:Article in Proceedings
Keywords:computational neuroanatomy;image analysis;classification;segmentation

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.

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