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]
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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
|Deposited By:||Professor Philip Morrow|
|Deposited On:||04 May 2010 08:42|
|Last Modified:||15 Jun 2011 10:08|
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