Comparison Of Brain Tissue Classification Algorithms With The Use Of Multimodal Efficiency Measure
| Název česky | Srovnání klasifikačních algoritmů pro mozkové tkáně s využitím multimodální metriky efektivity |
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| Autoři | |
| Rok publikování | 2008 |
| Druh | Článek ve sborníku |
| Konference | Analysis of Biomedical Signals and Images - Proceedings of 19th Biennal International Eurasip Conference BIOSIGNAL 2008 |
| Fakulta / Pracoviště MU | |
| Citace | |
| Obor | Využití počítačů, robotika a její aplikace |
| Klíčová slova | computational neuroanatomy;image analysis;classification;segmentation |
| Popis | 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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