ELM IMAGE PROCESSING FOR MELANOCYTIC SKIN LESION DIAGNOSIS BASED ON 7-POINT CHECKLIST: A PRELIMINARY DISCUSSION

G. Di Leo, G. Fabbrocini, C. Liguori, A. Pietrosanto, M. Sclavenzi

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 preliminary step to the automated diagnosis of melanocytic skin lesions, based on ELM 7 point checklist, is proposed. In particular, an image processing methodology focussed on finding the presence of two different parameters is set-up and characterized.

Download

IMEKO-TC4-2004-078.pdf

DOI

-

IMEKO TC

TC4 - Measurement of Electrical Quantities

Back to the proceedings