An improved procedure for the automatic detection of dermoscopic structures in digital ELM images of skin lesions

Author

Di Leo, G. ; Liguori, C. ; Paolillo, A. ; Sommella, P.

Author_Institution

Dept. of Electr. & Inf. Eng., Univ. of Salerno, Fisciano

fYear

2008

fDate

14-16 July 2008

Firstpage

190

Lastpage

194

Abstract

Early detection of melanoma is a very critical issue in todaypsilas dermatologic practice. Different diagnostic methods have been proposed which define multiple criteria for the evaluation of the malignancy of a lesion. The paper is devoted to the detection of an important dermatologic structure: the atypical pigmented network. A proposal is described for the application of decision-tree classification techniques to the results of specific image processing algorithms for the estimation of chromatic and structural parameters.

Keywords

decision trees; image classification; medical image processing; parameter estimation; skin; atypical pigmented network; automatic dermoscopic structures detection; chromatic parameter estimation; decision-tree classification techniques; dermatologic structure; digital ELM images; image processing algorithms; melanoma detection; skin lesions; structural parameters; Application software; Cancer; Computer aided diagnosis; Image analysis; Image color analysis; Lesions; Malignant tumors; Pattern analysis; Pigmentation; Skin; Computer-aided diagnosis; Decision Tree Classifier; Dermoscopy;

fLanguage

English

Publisher

ieee

Conference_Titel

Virtual Environments, Human-Computer Interfaces and Measurement Systems, 2008. VECIMS 2008. IEEE Conference on

Conference_Location

Istanbul

Print_ISBN

978-1-4244-1927-2

Electronic_ISBN

978-1-4244-1928-9

Type

conf

DOI

10.1109/VECIMS.2008.4592778

Filename

4592778