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@inproceedings{771729, author = {Janoušová, Eva and Schwarz, Daniel}, address = {Brno}, booktitle = {Analysis of Biomedical Signals and Images - Proceedings of 19th Biennal International Eurasip Conference BIOSIGNAL 2008}, keywords = {computational neuroanatomy;image analysis;classification;segmentation}, language = {eng}, location = {Brno}, isbn = {978-80-214-3612-1}, pages = {1-4}, publisher = {VUTIUM Press}, title = {Comparison Of Brain Tissue Classification Algorithms With The Use Of Multimodal Efficiency Measure}, year = {2008} }
TY - JOUR ID - 771729 AU - Janoušová, Eva - Schwarz, Daniel PY - 2008 TI - Comparison Of Brain Tissue Classification Algorithms With The Use Of Multimodal Efficiency Measure PB - VUTIUM Press CY - Brno SN - 9788021436121 KW - computational neuroanatomy;image analysis;classification;segmentation N2 - 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. ER -
JANOUŠOVÁ, Eva a Daniel SCHWARZ. Comparison Of Brain Tissue Classification Algorithms With The Use Of Multimodal Efficiency Measure. In \textit{Analysis of Biomedical Signals and Images - Proceedings of 19th Biennal International Eurasip Conference BIOSIGNAL 2008}. Brno: VUTIUM Press, 2008, s.~1-4. ISBN~978-80-214-3612-1.
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