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Analysis of Pigmented Skin Lesion Border Irregularity Using the Harmonic Wavelet Transform

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 (2009) Analysis of Pigmented Skin Lesion Border Irregularity Using the Harmonic Wavelet Transform. In: International Machine Vision and Image Processing Conference (IMVIP 2009), Dublin, Ireland. UNSPECIFIED. 6 pp. [Conference contribution]

Full text not available from this repository.

DOI: 10.1109/IMVIP.2009.11

Abstract

The development of computerised systems which differentiate between suspicious tumours and clinically benign pigmented skin lesions can assist in improved early diagnosis of malignant melanoma, subsequently reducing mortality rates associated with this disease. One lesion feature indicative of malignancy is border irregularity. In this paper the theoretical fundamentals of a harmonic-wavelet based methodology for skin lesion border evaluation are described. Our methodology is applied to the boundaries of 30 cutaneous lesions and classification algorithms are consequently utilised to evaluate the effectiveness of descriptors for differentiating between regular / irregular borders and between benign/malignant tumours. Results indicate that generated parameters have high discriminative value when differentiating between benign and malignant lesions: maximum classification accuracy achieved was 93.3%, with 80% sensitivity.

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:9076
Deposited By:Professor Bryan Scotney
Deposited On:20 Jan 2010 15:27
Last Modified:15 Jun 2011 11:07

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