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[乳腺钼靶筛查的数字图像处理:在肿块检测中的应用]

[Digital image processing of screening mammographies: application to masses].

作者信息

Viton J L, Seradour B, Rasigni M

机构信息

Laboratoire de Physique des Interactions Photons-Matière, Faculté des Sciences et Techniques de Saint-Jérôme, Marseille.

出版信息

J Radiol. 1998 Apr;79(4):319-22.

PMID:9757256
Abstract

A method based on image processing of tumoral neighbourhood is described for studying masses. By using polar and pseudopolar representations for the tumor and its neighbourhood, it is possible to detect divergent structures around the lesion and to evidence fuzzy areas in the boundary of the tumor, which constitute two significant features of breast cancer. The degree of spiculation is deduced from a shape parameter that characterizes the irregularity of the boundary; the radial component of the gradient on the boundary provides a measurement of fuzzy appearance.

摘要

描述了一种基于肿瘤周围图像处理的方法用于研究肿块。通过对肿瘤及其周围区域使用极坐标和伪极坐标表示,可以检测病变周围的发散结构,并揭示肿瘤边界中的模糊区域,这构成了乳腺癌的两个重要特征。毛刺程度由表征边界不规则性的形状参数推导得出;边界上梯度的径向分量提供了模糊外观的度量。

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