Early detection of melanoma is a very critical issue in today's dermatologie 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. © 2008 IEEE.

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

DI LEO, Giuseppe;LIGUORI, CONSOLATINA;PAOLILLO, Alfredo;SOMMELLA, PAOLO
2008-01-01

Abstract

Early detection of melanoma is a very critical issue in today's dermatologie 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. © 2008 IEEE.
2008
9781424419289
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4700166
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