• DocumentCode
    2033095
  • Title

    Polyp Detection in Colonoscopy Video using Elliptical Shape Feature

  • Author

    Hwang, Sae ; Oh, JungHwan ; Tavanapong, Wallapak ; Wong, Johnny ; De Groen, Piet C.

  • Author_Institution
    UTA, Arlington
  • Volume
    2
  • fYear
    2007
  • fDate
    Sept. 16 2007-Oct. 19 2007
  • Abstract
    Early detection of polyps and cancers is one of the most important goals of colonoscopy. Computer-based analysis of video files using texture features, as has been proposed for polyps of the stomach and colon, has two major limitations: this method uses a fixed size analysis window and relies heavily on a training set of images for accuracy. To overcome these limitations, we propose a new technique focusing on shape instead of texture in this paper. The proposed polyp region detection method is based on the elliptical shape that is common for nearly all small colon polyps.
  • Keywords
    biological organs; biomedical optical imaging; cancer; feature extraction; medical image processing; object detection; video signal processing; cancer detection; colon polyps; colonoscopy video; computer-based analysis; elliptical shape feature; fixed size analysis window; polyp detection; stomach; texture features; Cancer detection; Colon; Colonic polyps; Colonoscopy; Computer science; Image analysis; Image edge detection; Image segmentation; Image texture analysis; Shape; Colonoscopy; Ellipse Fitting; Image Registration; Polyp Detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2007. ICIP 2007. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1437-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2007.4379193
  • Filename
    4379193