A new algorithm for border description of polarized light surface microscopic images of pigmented skin lesions

被引：57

作者：

Grana, C

Pellacani, G

Cucchiara, R

Seidenari, S ^{[1
]}

机构：

[1] Univ Modena & Reggio Emilia, Dept Dermatol, I-41100 Modena, Italy

[2] Univ Modena & Reggio Emilia, Dept Comp Engn, I-41100 Modena, Italy

来源：

IEEE TRANSACTIONS ON MEDICAL IMAGING | 2003年 / 22卷 / 08期

关键词：

border; Catmull-Rom splines; epiluminescence; image analysis; melanoma; skin tumor;

D O I：

10.1109/TMI.2003.815901

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The aim of this study was to provide mathematical descriptors for the border of pigmented skin lesion images and to assess their efficacy for distinction among different lesion groups. New descriptors such as lesion slope and lesion slope regularity are introduced and mathematically defined. A new algorithm based on the Catmull-Rom spline method and the computation of the gray-level gradient of points extracted by interpolation of normal direction on spline points was employed. The efficacy of these new descriptors was tested on a data set of 510 pigmented skin lesions, composed by 85 melanomas and 425 nevi, by employing statistical methods for discrimination between the two populations.

引用

页码：959 / 964

页数：6

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