Tumor recognition in wireless capsule endoscopy images using textural features and SVM-based feature selection

IEEE Transactions on Information Technology in Biomedicine

Volumn 16, Issue 3, 2012, Pages 323-329

  Li, Baopu ^a,b   Meng, Max Q H ^b  

^a SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Feature selection; support vector machine (SVM); texture; tumor recognition; wireless capsule endoscopy (WCE) image

Indexed keywords

AUTOMATIC RECOGNITION; COLOR TEXTURE FEATURES; COMPUTER-AIDED DIAGNOSIS SYSTEM; DETECTION ACCURACY; DIGESTIVE TRACT; ILLUMINATION CHANGES; LOCAL BINARY PATTERNS; MULTIRESOLUTION CHARACTERISTICS; RECOGNITION ACCURACY; RECURSIVE FEATURE ELIMINATION; SMALL INTESTINE; TEXTURAL FEATURE; WIRELESS CAPSULE ENDOSCOPY; WIRELESS CAPSULE ENDOSCOPY IMAGE;

COMPUTER AIDED DIAGNOSIS; DIGESTIVE SYSTEM; ENDOSCOPY; FEATURE EXTRACTION; SUPPORT VECTOR MACHINES; TEXTURES; TUMORS;

IMAGE TEXTURE;

ARTICLE; CAPSULE ENDOSCOPY; COMPUTER ASSISTED DIAGNOSIS; FACTUAL DATABASE; HUMAN; INTESTINE TUMOR; METHODOLOGY; PATHOLOGY; SUPPORT VECTOR MACHINE;

CAPSULE ENDOSCOPY; DATABASES, FACTUAL; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INTESTINAL NEOPLASMS; SUPPORT VECTOR MACHINES;

EID: 84860688213     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2012.2185807     Document Type: Article

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