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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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