Contourlet-based mammography mass classification using the SVM family

Computers in Biology and Medicine

Volumn 40, Issue 4, 2010, Pages 373-383

  Moayedi, Fatemeh ^a   Azimifar, Zohreh ^a   Boostani, Reza ^a   Katebi, Serajodin ^a  

^a SHIRAZ UNIVERSITY   (Iran)

Author keywords

Contourlets; Mammography; Mass detection; Support vector machines

Indexed keywords

CLASSIFICATION ACCURACY; COMPUTATIONAL TIME; CONTOURLET COEFFICIENTS; CONTOURLET TRANSFORM; CONTOURLETS; DATA SETS; DESIGN AND DEVELOPMENT; FEATURE EXTRACTOR; FEATURE SELECTION; MASS DETECTION; PECTORAL MUSCLES; REGIONS OF INTEREST; SUPPORT VECTOR; TEXTURE FEATURES; THREE STAGES;

CLASSIFICATION (OF INFORMATION); CLASSIFIERS; COMPUTATIONAL EFFICIENCY; FUZZY NEURAL NETWORKS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; MAMMOGRAPHY; SUPPORT VECTOR MACHINES; X RAY SCREENS;

FEATURE EXTRACTION;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTRAST ENHANCEMENT; FUZZY SYSTEM; GENETIC ALGORITHM; IMAGE ANALYSIS; IMAGE ENHANCEMENT; INTERFEROMETRY; KERNEL METHOD; LEARNING ALGORITHM; MAMMOGRAPHY; PECTORAL MUSCLE; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE;

ALGORITHMS; FEMALE; FUZZY LOGIC; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAMMOGRAPHY; NEURAL NETWORKS (COMPUTER);

EID: 77950864589     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2009.12.006     Document Type: Article

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