Mass classification in mammograms using selected geometry and texture features, and a new SVM-based feature selection method

IEEE Systems Journal

Volumn 8, Issue 3, 2014, Pages 910-920

  Liu, Xiaoming ^a,b   Tang, Jinshan ^c  

^a WUHAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c MICHIGAN TECHNOLOGICAL UNIVERSITY   (United States)

Author keywords

Breast cancer; feature selection; mammogram; mass classification; mutual information (MI); recursive feature elimination (RFE); support vector machine (SVM)

Indexed keywords

DISEASES; EXPERIMENTS; FEATURE EXTRACTION; GEOMETRY; IMAGE RETRIEVAL; MAMMOGRAPHY; REDUNDANCY; TEXTURES; X RAY SCREENS;

BREAST CANCER; MAMMOGRAM; MASS CLASSIFICATIONS; MUTUAL INFORMATIONS; RECURSIVE FEATURE ELIMINATION;

SUPPORT VECTOR MACHINES;

EID: 84907600379     PISSN: 19328184     EISSN: 19379234     Source Type: Journal    
DOI: 10.1109/JSYST.2013.2286539     Document Type: Article

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