• 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