Dermoscopic image-analysis system: estimation of atypical pigment network and atypical vascular pattern

Author

Betta, G. ; Di Leo, G. ; Fabbrocini, G. ; Paolillo, A. ; Sommella, P.

Author_Institution

DAEIMI, Univ. of Cassino

fYear

2006

fDate

20-21 April 2006

Firstpage

63

Lastpage

67

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

Keywords

biomedical optical imaging; cancer; image colour analysis; image segmentation; image texture; medical image processing; optical microscopy; skin; tumours; atypical pigment network; atypical vascular pattern; color parameter; color segmentation; computer-aided diagnosis; dermoscopic image-analysis system; epiluminescence microscopy 7 point checklist; image processing algorithm; lesion malignancy; melanoma detection; texture parameter; Clinical diagnosis; Computer aided diagnosis; Image processing; Image segmentation; Lesions; Malignant tumors; Pattern analysis; Pigmentation; Skin cancer; Visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Medical Measurement and Applications, 2006. MeMea 2006. IEEE International Workshop on

Conference_Location

Benevento

Print_ISBN

1-4244-0253-0

Type

conf

DOI

10.1109/MEMEA.2006.1644462

Filename

1644462