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, G; Paolillo, A; Sommella, P; Fabbrocini, Gabriella; Rescigno, O.. - 2010:(2010), pp. 886-891. (Intervento presentato al convegno 2010 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE I2MTC 2010, PROCEEDINGS tenutosi a Austin, TX nel 03-03/05/2010) [10.1109/IMTC.2010.5488165].
A software tool for the diagnosis of melanomas automatic implementation of the 7-point check list method
FABBROCINI, GABRIELLA;
2010
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.File | Dimensione | Formato | |
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