DocumentCode :
1517890
Title :
Detection of Small Bowel Polyps and Ulcers in Wireless Capsule Endoscopy Videos
Author :
Karargyris, Alexandros ; Bourbakis, Nikolaos
Author_Institution :
Nat. Libr. of Med. (NLM), Nat. Inst. of Health (NIH), Bethesda, MD, USA
Volume :
58
Issue :
10
fYear :
2011
Firstpage :
2777
Lastpage :
2786
Abstract :
Over the last decade, wireless capsule endoscopy (WCE) technology has become a very useful tool for diagnosing diseases within the human digestive tract. Physicians using WCE can examine the digestive tract in a minimally invasive way searching for pathological abnormalities such as bleeding, polyps, ulcers, and Crohn´s disease. To improve effectiveness of WCE, researchers have developed software methods to automatically detect these diseases at a high rate of success. This paper proposes a novel synergistic methodology for automatically discovering polyps (protrusions) and perforated ulcers in WCE video frames. Finally, results of the methodology are given and statistical comparisons are also presented relevant to other works.
Keywords :
diseases; endoscopes; medical signal processing; object detection; Crohn´s disease; WCE technology; bleeding; human digestive tract; protrusions; small bowel polyps detection; ulcers; wireless capsule endoscopy videos; Endoscopes; Gabor filters; Image color analysis; Image edge detection; Image segmentation; Pixel; Videos; Bleeding; SUSAN edge detector; blood based; data mining; endoscopy; medical imaging; polyps; protrusions; small bowel; ulcers; wireless capsule; Capsule Endoscopy; Humans; Image Interpretation, Computer-Assisted; Image Processing, Computer-Assisted; Intestinal Polyps; Peptic Ulcer; Software; Support Vector Machines;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2011.2155064
Filename :
5768068
Link To Document :
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