Title :
Application of rough set based dynamic parameter optimization to MRI segmentation
Author :
Widz, S. ; Slezak, Dominik ; Revett, K.
Author_Institution :
Dept. of Robotics & Multi-Agent Syst., Polish-Japanese Inst. of Inf., Warsaw, Poland
Abstract :
We introduce a multi-spectral MRI segmentation technique based on approximate reducts derived from the data mining paradigm of the theory of rough sets. We use genetic algorithms to tune the parameterized attributes and search for the best segmentation models based on approximate reducts.
Keywords :
approximation theory; biomedical MRI; data mining; genetic algorithms; image segmentation; rough set theory; approximate reducts; data mining; dynamic parameter optimization; genetic algorithms; multispectral MRI segmentation; parameterized attributes; rough set theory; segmentation models; Alzheimer´s disease; Brain; Computer science; Genetic algorithms; Histograms; Image segmentation; Magnetic resonance imaging; Parkinson´s disease; Rough sets; Testing;
Conference_Titel :
Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the
Print_ISBN :
0-7803-8376-1
DOI :
10.1109/NAFIPS.2004.1336323
