Automatic Hookworm Detection in Wireless Capsule Endoscopy Images

IEEE Transactions on Medical Imaging

Volumn 35, Issue 7, 2016, Pages 1741-1752

  Wu, Xiao ^a   Chen, Honghan ^a   Gan, Tao ^b   Chen, Junzhou ^a   Ngo, Chong Wah ^c   Peng, Qiang ^a  

^a SOUTHWEST JIAOTONG UNIVERSITY   (China)

^b SICHUAN UNIVERSITY   (China)

^c CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Computer aided detection; hookworm detection; pattern recognition and classification; wireless capsule endoscopy

Indexed keywords

COMPUTER AIDED DIAGNOSIS; DIAGNOSIS; ENDOSCOPY; MATCHED FILTERS;

CLINICAL APPLICATION; COMPUTER AIDED DETECTION; DIAGNOSTIC TECHNIQUES; INFLAMMATORY BOWEL DISEASE; PATTERN RECOGNITION AND CLASSIFICATION; STATE-OF-THE-ART METHODS; WIRELESS CAPSULE ENDOSCOPY; WIRELESS CAPSULE ENDOSCOPY IMAGE;

PATTERN RECOGNITION;

ADOLESCENT; ADULT; AGED; ARTICLE; AUTOMATIC HOOKWORM DETECTION; AUTOMATION; CAPSULE ENDOSCOPY; CLASSIFIER; CLINICAL ARTICLE; COLOR; HISTOGRAM; HOOKWORM; HUMAN; IMAGE ENHANCEMENT; MACHINE LEARNING; MICROORGANISM DETECTION; NONHUMAN; NONLINEAR SYSTEM; SUPPORT VECTOR MACHINE; ANIMAL;

ANCYLOSTOMATOIDEA; ANIMALS; CAPSULE ENDOSCOPY; COLOR; HUMANS;

EID: 84977576078     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/TMI.2016.2527736     Document Type: Article

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