Early detection of melanoma is one of the greatest challenges of dermatologic practice today. A new diagnostic method, the “ELM 7 point checklist”, defines a set of seven features, based on colour and texture parameters, which describe the malignancy of a lesion. It has been presented as faster and with the same accuracy than the traditional ABCD criteria in the diagnosis of melanoma. In this paper a new system for automated diagnosis of melanocytic skin lesions, based on ELM 7 point checklist, is introduced.

A software tool for the diagnosis of melanomas automatic implementation of the 7-point check list method

DI LEO, Giuseppe;FABBROCINI, Gabriella;PAOLILLO, Alfredo;SOMMELLA, PAOLO
2010-01-01

Abstract

Early detection of melanoma is one of the greatest challenges of dermatologic practice today. A new diagnostic method, the “ELM 7 point checklist”, defines a set of seven features, based on colour and texture parameters, which describe the malignancy of a lesion. It has been presented as faster and with the same accuracy than the traditional ABCD criteria in the diagnosis of melanoma. In this paper a new system for automated diagnosis of melanocytic skin lesions, based on ELM 7 point checklist, is introduced.
2010
9781424428335
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/2601061
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