Brain MR image classification using two-dimensional discrete wavelet transform and AdaBoost with random forests

Neurocomputing

Volumn 177, Issue , 2016, Pages 188-197

  Nayak, Deepak Ranjan ^a   Dash, Ratnakar ^a   Majhi, Banshidhar ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

AdaBoost with random forests (ADBRF); Computer aided diagnosis (CAD); Discrete wavelet transform (DWT); Magnetic resonance imaging (MRI); Probabilistic principal component analysis (PPCA)

Indexed keywords

ADAPTIVE BOOSTING; CLASSIFICATION (OF INFORMATION); COMPUTER AIDED ANALYSIS; COMPUTER AIDED DIAGNOSIS; DECISION TREES; DISCRETE WAVELET TRANSFORMS; FACE RECOGNITION; MAGNETIC RESONANCE IMAGING; PRINCIPAL COMPONENT ANALYSIS; WAVELET TRANSFORMS;

ADABOOST ALGORITHM; COMPUTER AIDED DIAGNOSIS(CAD); EXTRACTING FEATURES; GENERALIZATION CAPABILITY; PROBABILISTIC PRINCIPAL COMPONENT ANALYSIS; RANDOM FORESTS; TWO-DIMENSIONAL DISCRETE WAVELET TRANSFORM; TWO-DIMENSIONAL DISCRETE WAVELET TRANSFORM (2-D DWT);

IMAGE CLASSIFICATION;

ADABOOST WITH RANDOM FOREST; ALGORITHM; ARTICLE; BRAIN DISEASE; CLASSIFICATION; CLASSIFIER; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE CLASSIFICATION; IMAGE PROCESSING; MATHEMATICAL COMPUTING; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; RANDOM FOREST; TWO DIMENSIONAL DISCRETE WAVELET TRANSFORM; WAVELET ANALYSIS;

EID: 84959508179     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2015.11.034     Document Type: Article

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