Wavelet packet energy, Tsallis entropy and statistical parameterization for support vector-based and neural-based classification of mammographic regions

Neurocomputing

Volumn 77, Issue 1, 2012, Pages 82-100

  Ramirez Villegas, Juan F ^a   Ramirez Moreno, David F ^a  

^a UNIVERSIDAD AUTÓNOMA DE OCCIDENTE   (Colombia)

Author keywords

Correlation analysis; Logistic regression; Mammographic regions; Multi layer perceptron; Sequential forward selection; Support vector machine; Tsallis entropy; Wavelet energy; Wavelet packet

Indexed keywords

CORRELATION ANALYSIS; LOGISTIC REGRESSION; MAMMOGRAPHIC; MULTI-LAYER PERCEPTRON; SEQUENTIAL FORWARD SELECTION; SUPPORT VECTOR; TSALLIS ENTROPIES; WAVELET ENERGY; WAVELET PACKET;

CLASSIFICATION (OF INFORMATION); ENTROPY; FEATURE EXTRACTION; MAMMOGRAPHY; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINES; VECTORS; WAVELET ANALYSIS;

WAVELET DECOMPOSITION;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFIER; CONTROLLED STUDY; CORRELATION ANALYSIS; ENTROPY; INFORMATION PROCESSING; INTERMETHOD COMPARISON; KOLMOGOROV SMIRNOV TEST; LOGISTIC REGRESSION ANALYSIS; MAMMOGRAPHY; NONPARAMETRIC TEST; PERCEPTRON; PREDICTIVE VALUE; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROCESS DEVELOPMENT; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE;

EID: 80955158411     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.08.015     Document Type: Article

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