Segmentation of medical images by region growing

被引：0

作者：

Abunde Barrera, Itzel ^{[1
]}

Gutierrez Estrada, Citlalih ^{[1
]}

Diaz Zagal, Sergio ^{[1
]}

Nieto Perez, Martin de Jess ^{[1
]}

机构：

[1] Inst Tecnol Toluca, Metepec Edo, Mexico

来源：

PROCEEDINGS OF THE 2008 IEEE INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION | 2008年

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The possibility combining different technologies and developing better performing systems that offer quality results leads to the creation of systems with enhanced adaptation and analysis. Such analysis allows the interaction with previously evaluated techniques, providing reliable, successful results. Such is the case for the research work detailed in this article, which is focused on a technique that allows reusing previously analyzed and formalized information with the support of the Unified Modeled Language (UML). Information is handled in modules aimed to generate the segmentation of medical images without intervention of a specialist. The put-pose is to deliver regions of interest for the early detection of cervical cancer.

引用

页码：441 / 444

页数：4

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