Computerised Skin Lesion Surface Analysis for Pigment Asymmetry Quantification

Clawson, Kathy, Morrow, PJ, Scotney, BW, McKenna, DJ and Dolan, OM (2007) Computerised Skin Lesion Surface Analysis for Pigment Asymmetry Quantification. In: MVIP 2007 International Machine Vision and Image Processing Conference, 5-7 Sep 2007, National University of Ireland Maynooth, Maynooth, County Kildare, Ireland.

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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 or Workshop Item (Paper)
Additional Information: 10.1109/IMVIP.2007.34 978-0-7695-2887-8
Subjects: Computing
Divisions: Faculty of Applied Sciences > Department of Computing Engineering and Technology
Digital Innovation Beacon
Depositing User: Kathy Clawson
Date Deposited: 26 May 2015 15:30
Last Modified: 09 May 2016 10:13
URI: http://sure.sunderland.ac.uk/id/eprint/5377

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