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Computerised Skin Lesion Surface Analysis for Pigment Asymmetry Quantification

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

Clawson, KM, Morrow, PJ, Scotney, BW, McKenna, DJ and Dolan, OM (2007) Computerised Skin Lesion Surface Analysis for Pigment Asymmetry Quantification. In: International Machine Vision and Image Processing Conference, 2007 (IMVIP 2007) . IEEE Computer Society. 8 pp. [Conference contribution]

Full text not available from this repository.

URL: http://dx.doi.org/10.1109/IMVIP.2007.34

DOI: doi:10.1109/IMVIP.2007.34

Abstract

Malignant melanoma is the deadliest form of skin cancer and must be diagnosed and excised during its earliest stages. The development of computerised systems which accurately quantify features representative of this cancer aims to assist diagnosis and improve preoperative diagnostic accuracy. One clinical feature suggestive of malignancy is asymmetry, which considers lesion shape, colour distribution and texture. In this paper techniques for the detection of colour asymmetry are evaluated and a new method for visually displaying and quantifying colour asymmetry is proposed. Automatic induction methods and a neural network model are utilised to evaluate the diagnostic capability of our features and identify those of greatest relative importance. Results indicate that those features quantifying possible areas of regression are most indicative of colour asymmetry.

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:13570
Deposited By:Professor Philip Morrow
Deposited On:04 May 2010 09:42
Last Modified:15 Jun 2011 11:08

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