Determination of Optimal Axes for Skin Lesion Asymmetry Quantification

K.M. Clawson, PJ Morrow, Bryan Scotney, D.J. McKenna, O.M. Dolan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherIEEE Computer Society
Pages453-456
Number of pages4
Volume2
DOIs
Publication statusPublished - Sep 2007
EventIEEE International Conference on Image Processing, (ICIP 2007) -
Duration: 1 Sep 2007 → …

Conference

ConferenceIEEE International Conference on Image Processing, (ICIP 2007)
Period1/09/07 → …

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    Clawson, K. M., Morrow, PJ., Scotney, B., McKenna, D. J., & Dolan, O. M. (2007). Determination of Optimal Axes for Skin Lesion Asymmetry Quantification. In Unknown Host Publication (Vol. 2, pp. 453-456). IEEE Computer Society. https://doi.org/10.1109/ICIP.2007.4379190