A novel approach for detection and classification of mammographic microcalcifications using wavelet analysis and extreme learning machine

Computers in Biology and Medicine

Volumn 42, Issue 9, 2012, Pages 898-905

  Malar, E ^a   Kandaswamy, A ^a   Chakravarthy, D ^a   Giri Dharan, A ^a  

^a PSG COLLEGE OF TECHNOLOGY   (India)

Author keywords

Extreme learning machine; Gabor filter; GLSDM; Microcalcification; Wavelet

Indexed keywords

BREAST TISSUES; CLASSIFICATION ACCURACY; DIGITIZED MAMMOGRAMS; EARLY DETECTION OF BREAST CANCER; EXTREME LEARNING MACHINE; FEATURE VECTORS; FILTER-BASED TECHNIQUE; GLSDM; GRAY LEVELS; LEARNING RATES; LOCAL MINIMUMS; MAMMOGRAPHIC; MICROCALCIFICATION DETECTION; MICROCALCIFICATIONS; NAIVE-BAYES CLASSIFIERS; NORMAL TISSUE; OVERFITTING; POTENTIAL INDICATORS; REGION OF INTEREST; SPATIAL DEPENDENCE; TISSUE TEXTURES; TRAINING TIME; WAVELET; WAVELET FEATURES;

GABOR FILTERS; LEARNING SYSTEMS; MAMMOGRAPHY; MEDICAL IMAGING; NEURAL NETWORKS; TISSUE; WAVELET ANALYSIS; X RAY SCREENS;

CALCIFICATION (BIOCHEMISTRY);

ARTICLE; ARTIFICIAL NEURAL NETWORK; BREAST; BREAST CALCIFICATION; BREAST CANCER; CLASSIFIER; DIAGNOSTIC ACCURACY; DISEASE CLASSIFICATION; MACHINE LEARNING; MAMMOGRAPHY; PRIORITY JOURNAL; PROBABILITY; RECEIVER OPERATING CHARACTERISTIC; SUPPORT VECTOR MACHINE; WAVELET ANALYSIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BREAST DISEASES; CALCINOSIS; DATABASES, FACTUAL; FEMALE; HUMANS; MAMMOGRAPHY; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; ROC CURVE; WAVELET ANALYSIS;

EID: 84865540205     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2012.07.001     Document Type: Article

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