Automatic fuzzy-neural based segmentation of microscopic cell images

被引：5

作者：

Colantonio, Sara ^{[1
]}

Gurevich, Igor B. ^{[2
]}

Salvetti, Ovidio ^{[1
]}

机构：

[1] Italian Natl Res Council CNR, Inst Informat Sci & Technol ISTI, Via G Moruzzi 1, I-56124 Pisa, Italy

[2] Russian Acad Sci, Dorodnicyn Comp Ctr, Moscow 119991, Russia

来源：

INTERNATIONAL JOURNAL OF SIGNAL AND IMAGING SYSTEMS ENGINEERING | 2008年 / 1卷 / 01期

基金：

俄罗斯基础研究基金会;

关键词：

microscopic cell images; colour image segmentation; fuzzy clustering; artificial neural networks;

D O I：

10.1504/IJSISE.2008.017769

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we propose a novel, completely automated method for the segmentation of lymphatic cell nuclei represented in microscopic specimen images. Actually, segmenting cell nuclei is the first, necessary step for developing an automated application for the early diagnostics of lymphatic system tumours. The proposed method follows a two-step approach to, firstly, find the nuclei and then, to refine the segmentation by means of a neural model, capable of localising the borders of each nucleus. Experimental results have shown the feasibility of the method.

引用

页码：18 / 24

页数：7

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