Assessment of crohn's disease lesions in wireless capsule endoscopy images

IEEE Transactions on Biomedical Engineering

Volumn 59, Issue 2, 2012, Pages 355-362

  Kumar, Rajesh ^a   Zhao, Qian ^b,c   Seshamani, Sharmishtaa ^b   Mullin, Gerard ^b   Hager, Gregory ^b   Dassopoulos, Themistocles ^d  

^a Johns Hopkins University   (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

^c CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^d WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Content based image retrieval; Crohns disease; statistical classification; wireless capsule endoscopy (CE)

Indexed keywords

AUTOMATED ANALYSIS; CAPSULE ENDOSCOPY; CONTENT BASED IMAGE RETRIEVAL; CROHN'S DISEASE; DETECTION APPROACH; GROUND TRUTH; LARGE AMOUNTS OF DATA; LARGE DATASETS; LARGE PARTS; LESION DETECTION; QUANTITATIVE ASSESSMENTS; SMALL BOWEL; STATISTICAL CLASSIFICATION; SUPERVISED CLASSIFICATION; SUPERVISED LEARNING METHODS; WIRELESS CAPSULE ENDOSCOPY (CE); WIRELESS CAPSULE ENDOSCOPY IMAGE;

ENDOSCOPY; IMAGE RETRIEVAL; RATING;

DISEASES;

ACCURACY; ARTICLE; CAPSULE ENDOSCOPY; COLON HEMORRHAGE; CROHN DISEASE; DISEASE SEVERITY; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; MUCOSA INFLAMMATION;

CAPSULE ENDOSCOPY; CROHN DISEASE; DATABASES, FACTUAL; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS;

EID: 84863401997     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2011.2172438     Document Type: Article

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