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