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

被引：35

作者：

Betta, G. ^{[1
]}

Di Leo, G. ^{[2
]}

Fabbrocini, G. ^{[3
]}

Paolillo, A. ^{[2
]}

Sommella, P. ^{[2
]}

机构：

[1] Univ Cassino, DAEIMI, Via G DiBiasio,47, I-03043 Cassino, FR, Italy

[2] Univ Salerno, Dept Informat Engn & Elect Engn, Salerno, Italy

[3] Univ Naples Federico II, Naples, Italy

来源：

2006 IEEE INTERNATIONAL WORKSHOP ON MEDICAL MEASUREMENT AND APPLICATIONS | 2006年

关键词：

contputer-aided diagnosis; dermoscopy; color segmentation;

D O I：

10.1109/MEMEA.2006.1644462

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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 "A typical Pigment Network" and "A typical Vascular Pattern" that are two important criteria of the "7-point checklist" method.

引用

页码：63 / +

页数：2

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