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
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