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Determination of Optimal Axes for Skin Lesion Asymmetry Quantification

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Clawson, K.M., Morrow, PJ, Scotney, Bryan, McKenna, D.J. and Dolan, O.M. (2007) Determination of Optimal Axes for Skin Lesion Asymmetry Quantification. In: IEEE International Conference on Image Processing, (ICIP 2007). IEEE Computer Society. Vol 2 4 pp. [Conference contribution]

Full text not available from this repository.

URL: http://dx.doi.org/10.1109/ICIP.2007.4379190

DOI: doi:10.1109/ICIP.2007.4379190

Abstract

Malignant melanoma is a skin tumour typified by high mortality rates when not diagnosed and excised in its earliest stages. Preoperative diagnostic accuracy may be improved through the development of computerised systems which accurately quantify features indicative of this cancer. One such feature is boundary contour asymmetry, which is typically measured across a skin lesion's major and minor axes of symmetry. In this paper techniques for detection of skin lesion asymmetry are discussed, and the viability of integrating Fourier descriptors into a shape asymmetry quantifier is investigated. It is concluded that Fourier descriptors facilitate accurate isolation and ranking of a lesion's symmetry axes and provide an approach which could easily be integrated into new or existing diagnostic procedures.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:13568
Deposited By:Professor Philip Morrow
Deposited On:04 May 2010 10:18
Last Modified:15 Jun 2011 11:08

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