Brain MRI classification using an ensemble system and LH and HL wavelet sub-bands features

IEEE SSCI 2011 - Symposium Series on Computational Intelligence - CIMI 2011: 2011 IEEE 3rd International Workshop on Computational Intelligence in Medical Imaging

Volumn , Issue , 2011, Pages 9-15

  Lahmiri, Salim ^a   Boukadoum, Mounir ^a  

^a UNIVERSITÉ DU QUÉBEC À MONTRÉAL   (Canada)

Author keywords

classification; MR images; support vector machines; SVM; wavelet transform

Indexed keywords

BASE CLASSIFIERS; BRAIN IMAGES; BRAIN MRI; CLASSIFICATION RATES; CLASSIFICATION SYSTEM; ENSEMBLE CLASSIFIERS; ENSEMBLE SYSTEMS; FIRST-ORDER STATISTICS; K-NEAREST NEIGHBORS; LEARNING VECTOR QUANTIZATION; MR IMAGES; PATHOLOGICAL IMAGES; PROBABILISTIC NEURAL NETWORKS; SECOND-LEVEL; SUB-BANDS; SVM;

DISCRETE WAVELET TRANSFORMS; FEATURE EXTRACTION; IMAGE PROCESSING; MEDICAL COMPUTING; MEDICAL IMAGING; NEURAL NETWORKS; RESONANCE; SUPPORT VECTOR MACHINES; VECTOR QUANTIZATION; WAVELET DECOMPOSITION;

MAGNETIC RESONANCE IMAGING;

EID: 80051593556     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIMI.2011.5952041     Document Type: Conference Paper

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