Polyp Detection via Imbalanced Learning and Discriminative Feature Learning

IEEE Transactions on Medical Imaging

Volumn 34, Issue 11, 2015, Pages 2379-2393

  Bae, Seung Hwan ^a   Yoon, Kuk Jin ^a  

^a Gwangju Institute of Science and Technology (GIST)   (South Korea)

Author keywords

colonoscopy; computer aided detection (CAD); Endoscopy; feature learning; imbalanced learning; medical imaging system; partial least square analysis; polyp detection

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER AIDED ANALYSIS; COMPUTER AIDED INSTRUCTION; ENDOSCOPY; LEAST SQUARES APPROXIMATIONS; MEDICAL IMAGING;

COLONOSCOPY; COMPUTER-AIDED DETECTION; FEATURE LEARNING; IMBALANCED LEARNING; PARTIAL LEAST SQUARE ANALYSIS; POLYP DETECTION;

FEATURE EXTRACTION;

ARTICLE; COLORECTAL CANCER; COLORECTAL POLYP; CONTROLLED STUDY; CROHN DISEASE; DIFFERENTIAL DIAGNOSIS; DISCRIMINATION LEARNING; HISTOGRAM; HUMAN; IMBALANCED LEARNING; INFORMATION PROCESSING; INTERMETHOD COMPARISON; LEARNING; LEARNING ALGORITHM; PARTIAL LEAST SQUARES REGRESSION; TUBERCULOSIS; ULCERATIVE COLITIS; ALGORITHM; COLON; COLONIC POLYPS; COLONOSCOPY; COMPUTER ASSISTED DIAGNOSIS; MACHINE LEARNING; PATHOLOGY; PROCEDURES; REGRESSION ANALYSIS;

ALGORITHMS; COLON; COLONIC POLYPS; COLONOSCOPY; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LEAST-SQUARES ANALYSIS; MACHINE LEARNING;

EID: 84959444758     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/TMI.2015.2434398     Document Type: Article

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