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.
Automatic Diagnosis of Melanoma: a Software System based on the 7-Point Check-List / Di Leo, G; Paolillo, A; Sommella, P; Fabbrocini, Gabriella. - 2010:(2010), pp. 2319-2328. (Intervento presentato al convegno 43rd Hawaii International Conference on Systems Sciences (HICSS 2010) tenutosi a Honolulu nel 5-8/01/2015) [10.1109/HICSS.2010.76].
Automatic Diagnosis of Melanoma: a Software System based on the 7-Point Check-List
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 | |
|---|---|---|---|
|
Automatic diagnosis of melanoma.docx
non disponibili
Tipologia:
Abstract
Licenza:
Accesso privato/ristretto
Dimensione
13.35 kB
Formato
Microsoft Word XML
|
13.35 kB | Microsoft Word XML | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
