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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

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.

Item Type: Conference or Workshop Item (Paper)

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.

Full text not available from this repository.

More Information

Additional Information: 10.1109/IMVIP.2007.34 978-0-7695-2887-8
Depositing User: Kathy Clawson

Identifiers

Item ID: 5377
URI: http://sure.sunderland.ac.uk/id/eprint/5377
Official URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp...

Users with ORCIDS

ORCID for Kathy Clawson: ORCID iD orcid.org/0000-0001-8431-1524

Catalogue record

Date Deposited: 26 May 2015 15:30
Last Modified: 18 Dec 2019 15:37

Contributors

Author: Kathy Clawson ORCID iD
Author: PJ Morrow
Author: BW Scotney
Author: DJ McKenna
Author: OM Dolan

University Divisions

Faculty of Technology
Faculty of Technology > School of Computer Science

Subjects

Computing

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