Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/16624
Title: Determining the asymmetry of skin lesion with fuzzy borders
Authors: Ng, VTY 
Fung, BYM
Lee, TK
Keywords: Asymmetry measurement
Medical imaging
Melanoma
Skin lesion
Issue Date: 2005
Publisher: Pergamon Press
Source: Computers in biology and medicine, 2005, v. 35, no. 2, p. 103-120 How to cite?
Journal: Computers in biology and medicine 
Abstract: It is highly desirable to identify malignant melanoma, a common cancer, at an early stage. One important clinical feature of this cancer is asymmetrical skin lesions. In this paper, we propose an adaptive fuzzy approach that uses symmetric distance (SD) to measure lesions with fuzzy borders. The use of a number of SD variations and the adoption of a backpropagation neural network enhances the discriminative power of the approach. Digitized images from the Lesion Clinic in Vancouver, Canada, demonstrate the accurate classification of asymmetric lesions at around 80%.
URI: http://hdl.handle.net/10397/16624
ISSN: 0010-4825
EISSN: 1879-0534
DOI: 10.1016/j.compbiomed.2003.11.004
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