An automated multi-spectral MRI segmentation algorithm using approximate reducts

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3066, Issue , 2004, Pages 815-824

  Widz, Sebastian ^a   Revett, Kenneth ^b   Ślȩzak, Dominik ^a,c  

^a POLISH JAPANESE INSTITUTE OF INFORMATION TECHNOLOGY   (Poland)

^b UNIVERSITY OF BEDFORDSHIRE   (United Kingdom)

^c UNIVERSITY OF REGINA   (Canada)

Author keywords

Approximate reducts; Genetic algorithms; MRI segmentation

Indexed keywords

APPROXIMATION THEORY; BRAIN; COMPUTER SIMULATION; DATA MINING; DATABASE SYSTEMS; GENETIC ALGORITHMS; IMAGE SEGMENTATION; ROUGH SET THEORY; ALGORITHMS; CLASSIFICATION (OF INFORMATION); COMPUTATION THEORY; MAGNETIC RESONANCE IMAGING;

APPROXIMATE REDUCTS; DATA SETS; MAGNETIC RESONANCE IMAGING (MRI) SEGMENTATION; SIMULATED BRAIN DATABASE (SBD); CLASSIFICATION METHODS; GOLD STANDARDS; MRI IMAGE; MRI SEGMENTATION; MULTI-SPECTRAL; SEGMENTATION ALGORITHMS;

MAGNETIC RESONANCE IMAGING; IMAGE SEGMENTATION;

EID: 9444267730     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-25929-9_104     Document Type: Conference Paper

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