CFS-SMO based classification of breast density using multiple texture models

Medical and Biological Engineering and Computing

Volumn 52, Issue 6, 2014, Pages 521-529

  Sharma, Vipul ^a   Singh, Sukhwinder ^a  

^a PANJAB UNIVERSITY   (India)

Author keywords

Breast density; Classification; Feature selection; Mammograms; Texture features

Indexed keywords

CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; MAMMOGRAPHY; OPTIMIZATION; TEXTURES; X RAY SCREENS;

BREAST DENSITY; BREAST TISSUE CLASSIFICATION; MAMMOGRAMS; MULTI LAYER PERCEPTRON; PARENCHYMAL PATTERNS; REGION OF INTEREST; SEQUENTIAL MINIMAL OPTIMIZATION; TEXTURE FEATURES;

TISSUE;

ACCURACY; ARTICLE; BREAST; CORRELATION BASED FEATURE SELECTION; DENSITY; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; IMAGE ANALYSIS; MACHINE LEARNING; MAMMOGRAPHY; PERCEPTRON; PRIORITY JOURNAL; RADIAL BASED FUNCTION; SENSITIVITY AND SPECIFICITY; SEQUENTIAL MINIMAL OPTIMIZATION; ALGORITHM; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; CLASSIFICATION; FEMALE; HUMAN; IMAGE PROCESSING; PHYSIOLOGY; PROCEDURES;

ALGORITHMS; BAYES THEOREM; BREAST; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAMMOGRAPHY; PATTERN RECOGNITION, AUTOMATED;

EID: 84901629164     PISSN: 01400118     EISSN: 17410444     Source Type: Journal    
DOI: 10.1007/s11517-014-1158-6     Document Type: Article

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