The worldwide incidence of cutaneous melanoma has increased dramatically over the past decades. It is well known that a good prognosis of melanoma is only expected for thin lesions. Preventive effort has therefore been concentrated on identification of early lesions facilitated by the introduction and dissemination of standardized clinical criteria and by the use of dermoscopy (epiluminescence microscopy). However, the interpretation of dermoscopic criteria is often confusing especially for the inexperienced observer. This chapter summarizes recent computer techniques to help the clinician in these tasks.

Early Detection of Melanoma by Image Analysis / Seidenari, Stefania; Pellacani, Giovanni; Grana, Costantino. - (2007), pp. 305-312.

Early Detection of Melanoma by Image Analysis

PELLACANI, Giovanni;GRANA, Costantino
2007

Abstract

The worldwide incidence of cutaneous melanoma has increased dramatically over the past decades. It is well known that a good prognosis of melanoma is only expected for thin lesions. Preventive effort has therefore been concentrated on identification of early lesions facilitated by the introduction and dissemination of standardized clinical criteria and by the use of dermoscopy (epiluminescence microscopy). However, the interpretation of dermoscopic criteria is often confusing especially for the inexperienced observer. This chapter summarizes recent computer techniques to help the clinician in these tasks.
2007
Bioengineering of the Skin: Skin Imaging & Analysis, Second Edition
0849338174
ABCD rule; asymmetry; border; colors; differential structures
02 Pubblicazione su volume::02a Capitolo o Articolo
Early Detection of Melanoma by Image Analysis / Seidenari, Stefania; Pellacani, Giovanni; Grana, Costantino. - (2007), pp. 305-312.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1484051
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