Classification of melanoma using tree structured wavelet transforms

Document Type

Article

Publication Date

1-1-2003

Abstract

This paper presents a wavelet transform based tree structure model developed and evaluated for the classification of skin lesion images into melanoma and dysplastic nevus. The tree structure model utilizes a semantic representation of the spatial-frequency information contained in the skin lesion images including textural information. Results show that the presented method is effective in discriminating melanoma from dysplastic nevus. The results are also compared with those obtained using another method of developing tree structures utilizing the maximum channel energy criteria with a fixed energy ratio threshold. © 2002 Elsevier Science Ireland Ltd. All rights reserved.

Identifier

0141923672 (Scopus)

Publication Title

Computer Methods and Programs in Biomedicine

External Full Text Location

https://doi.org/10.1016/S0169-2607(02)00147-5

ISSN

01692607

PubMed ID

14554136

First Page

223

Last Page

239

Issue

3

Volume

72

Grant

RG-99-0127

Fund Ref

Whitaker Foundation

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