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 color and texture parameters, which describe the malignancy of a lesion. This paper describes image processing algorithms developed for the detection of the occurrence of "Atypical Pigment Network" and "Atypical Vascular Pattern" that are two important criteria of the "7-point checklist" method.
Dermoscopic image-analysis system: Estimation of atypical pigment network and atypical vascular pattern / Betta, G; Di Leo, G; Fabbrocini, Gabriella; Paolillo, A; Sommella, P.. - 2006:1644462(2006), pp. 63-67. (Intervento presentato al convegno IEEE International Workshop on Medical Measurement and Applications, MeMeA 2006 tenutosi a Benevento nel 20-21/04/2006) [10.1109/MEMEA.2006.1644462].
Dermoscopic image-analysis system: Estimation of atypical pigment network and atypical vascular pattern
FABBROCINI, GABRIELLA;
2006
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 color and texture parameters, which describe the malignancy of a lesion. This paper describes image processing algorithms developed for the detection of the occurrence of "Atypical Pigment Network" and "Atypical Vascular Pattern" that are two important criteria of the "7-point checklist" method.| File | Dimensione | Formato | |
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