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.
ELM image processing for melanocytic skin lesion diagnosis based on 7-point checklist:a preliminary discussion / Di Leo, G; Fabbrocini, Gabriella; Liguori, C; Pietrosanto, A; Scalvenzi, Massimiliano. - (2004). (Intervento presentato al convegno Techical Committee on measurement of Electrical Quantities - IMEKO TC-4 tenutosi a National Technical University of Athens nel 29 settembre - 1 ottobre 2004).
ELM image processing for melanocytic skin lesion diagnosis based on 7-point checklist:a preliminary discussion
FABBROCINI, GABRIELLA;SCALVENZI, MASSIMILIANO
2004
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.