A hybrid classifier committee for analysing asymmetry features in breast thermograms

Applied Soft Computing Journal

Volumn 20, Issue , 2014, Pages 112-118

  Krawczyk, Bartosz ^a   Schaefer, Gerald ^b  

^a WROCLAW UNIVERSITY OF TECHNOLOGY   (Poland)

^b LOUGHBOROUGH UNIVERSITY   (United Kingdom)

Author keywords

Breast cancer; Image features; Imbalanced classification; Multiple classifier system; Pattern classification; Thermography

Indexed keywords

ARTIFICIAL INTELLIGENCE; BLOOD VESSELS; CHEMICAL DETECTION; DIAGNOSIS; DISEASES; INFRARED IMAGING; MEDICAL IMAGING; PATTERN RECOGNITION; TEMPERATURE MEASURING INSTRUMENTS; THERMOGRAPHY (TEMPERATURE MEASUREMENT); TUMORS;

BREAST CANCER; CLASSIFICATION ACCURACY; CLASSIFICATION APPROACH; COMPUTATIONAL INTELLIGENCE TECHNIQUES; EXPERIMENTAL EVALUATION; IMAGE FEATURES; IMBALANCED CLASSIFICATION; MULTIPLE CLASSIFIER SYSTEMS;

CLASSIFICATION (OF INFORMATION);

EID: 84901587069     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2013.11.011     Document Type: Article

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