• DocumentCode
    2723535
  • Title

    Current concepts in computer-aided detection for ct colonography

  • Author

    Summers, Ronald M.

  • Author_Institution
    Imaging Biomarkers & Comput.-Aided Diagnosis Lab., Nat. Institutes of Health Clinical Center, Bethesda, MD, USA
  • fYear
    2010
  • fDate
    14-17 April 2010
  • Firstpage
    269
  • Lastpage
    272
  • Abstract
    Computer-aided detection (CAD) for CT colonography has been under development for about eleven years. It is now sufficiently accurate that clinically significant polyps 1 cm and larger can be reliably detected with 90% sensitivity. The research focus is now shifting to reducing the number of false positive detections, clinical validation and integrating CAD into clinical practice and applying CAD to the setting of fecal tagging and laxative-free bowel preparations. This is a dynamic research field which requires the use of state-of-the-art image processsing and machine learning techniques.
  • Keywords
    computerised tomography; learning (artificial intelligence); medical image processing; CAD; CT colonography; computer-aided detection; fecal tagging; image processsing; laxative-free bowel; machine learning; Cancer; Colon; Colonic polyps; Feature extraction; Level set; Optical attenuators; Optical scattering; Shape; Testing; Virtual colonoscopy; colorectal cancer; curvature; polyps; shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on
  • Conference_Location
    Rotterdam
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-4125-9
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2010.5490363
  • Filename
    5490363