A colon video analysis framework for polyp detection

IEEE Transactions on Biomedical Engineering

Volumn 59, Issue 5, 2012, Pages 1408-1418

  Park, Sun Young ^a   Sargent, Dustin ^a   Spofford, Inbar ^b   Vosburgh, Kirby G ^c   A Rahim, Yousif ^d,e  

^a Zigi Solutions   (United States)

^b MASSACHUSETTS GENERAL HOSPITAL   (United States)

^c HARVARD MEDICAL SCHOOL   (United States)

^d UNIVERSITY OF HAWAII   (United States)

^e Pali Momi Medical Center   (United States)

Author keywords

Colon cancer; conditional random fields (CRFs); eigenimages; polyp detection; quasi Newton method

Indexed keywords

COLON CANCER; CONDITIONAL RANDOM FIELDS (CRFS); EIGENIMAGES; POLYP DETECTION; QUASI-NEWTON METHODS;

DISEASES; ENDOSCOPY; IMAGE SEGMENTATION; NEWTON-RAPHSON METHOD; RANDOM PROCESSES;

VIDEO SIGNAL PROCESSING;

ARTICLE; CANCER SCREENING; COLON CANCER; COLON VIDEO ANALYSIS; COLONOSCOPY; IMAGE ANALYSIS; IMAGE QUALITY; METHODOLOGY; POLYP; QUALITY CONTROL;

ALGORITHMS; COLONIC POLYPS; COLONOSCOPY; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED;

EID: 84860352908     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2188397     Document Type: Article

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