• DocumentCode
    2410392
  • Title

    Measuring asymmetries of skin lesions

  • Author

    Ng, Vincent ; Cheung, David

  • Author_Institution
    Dept. of Comput., Hong Kong Polytech., Kowloon, Hong Kong
  • Volume
    5
  • fYear
    1997
  • fDate
    12-15 Oct 1997
  • Firstpage
    4211
  • Abstract
    Since 1994, a clinical study has been established to digitize melanocytic lesions from patients who are referred to the Colored Pigment Lesion Clinic in the University of British Columbia. In the past, we have been using circularity as the main feature to reflect the asymmetrical aspect of skin lesions. However, its significance often depends on the accuracy of image segmentation while the borders of many lesions are often fuzzy and irregular. We investigate the use of symmetry distance (SD) to improve the measurement of the asymmetries of skin lesions. Two SDs, including the basic SD and the fuzzy SD, and the simple circularity are calculated based on the new set of color images which are digitized under the controlled environment
  • Keywords
    biomedical measurement; edge detection; image colour analysis; image segmentation; medical image processing; skin; Colored Pigment Lesion Clinic; University of British Columbia; circularity; clinical study; color images; fuzzy borders; image segmentation; irregular borders; medical image processing; melanocytic lesions; patients; skin lesion asymmetry measurement; symmetry distance; Biomedical imaging; Cancer; Computer science; Guidelines; Image segmentation; Lesions; Malignant tumors; Pigmentation; Skin; Surgery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-4053-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1997.637360
  • Filename
    637360