Ma, Li and Staunton, R. C.. (2013) Analysis of the contour structural irregularity of skin lesions using wavelet decomposition. Pattern Recognition, Vol.46 (No.1). pp. 98-106. ISSN 00313203

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Abstract

The boundary irregularity of skin lesions is of clinical significance for the early detection of malignant melanomas and to distinguish them from other lesions such as benign moles. The structural components of the contour are of particular importance. To extract the structure from the contour, wavelet decomposition was used as these components tend to locate in the lower frequency sub-bands. Lesion contours were modeled as signatures with scale normalization to give position and frequency resolution invariance. Energy distributions among different wavelet sub-bands were then analyzed to extract those with significant levels and differences to enable maximum discrimination. Based on the coefficients in the significant sub-bands, structural components from the original contours were modeled, and a set of statistical and geometric irregularity descriptors researched that were applied at each of the significant sub-bands. The effectiveness of the descriptors was measured using the Hausdorff distance between sets of data from melanoma and mole contours. The best descriptor outputs were input to a back projection neural network to construct a combined classifier system. Experimental results showed that thirteen features from four sub-bands produced the best discrimination between sets of melanomas and moles, and that a small training set of nine melanomas and nine moles was optimum.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics R Medicine > RC Internal medicine
Divisions:	Faculty of Science > Engineering
Library of Congress Subject Headings (LCSH):	Melanoma -- Diagnosis, Skin -- Diseases -- Diagnosis, Wavelets (Mathematics)
Journal or Publication Title:	Pattern Recognition
Publisher:	Elsevier BV
ISSN:	00313203
Date:	January 2013
Volume:	Vol.46
Number:	No.1
Page Range:	pp. 98-106
Identification Number:	10.1016/j.patcog.2012.07.001
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Funder:	Guo jia zi ran ke xue ji jin wei yuan hui (China) [National Natural Science Foundation of China] (NSFC)
Grant number:	60775016 (NSFC)
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URI:	http://wrap.warwick.ac.uk/id/eprint/49978

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