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一种用于视频内窥镜检查中自动检测胃肠道腺瘤的智能系统。

An intelligent system for automatic detection of gastrointestinal adenomas in video endoscopy.

作者信息

Iakovidis Dimitris K, Maroulis Dimitris E, Karkanis Stavros A

机构信息

Department of Informatics and Telecommunications, University of Athens, Panepistimiopolis, Illisia, 15784 Athens, Greece.

出版信息

Comput Biol Med. 2006 Oct;36(10):1084-103. doi: 10.1016/j.compbiomed.2005.09.008. Epub 2005 Nov 15.

DOI:10.1016/j.compbiomed.2005.09.008
PMID:16293240
Abstract

Today 95% of all gastrointestinal carcinomas are believed to arise from adenomas. The early detection of adenomas could prevent their evolution to cancer. A novel system for the support of the detection of adenomas in gastrointestinal video endoscopy is presented. Unlike other systems, it accepts standard low-resolution video input thus requiring less computational resources and facilitating both portability and the potential to be used in telemedicine applications. It combines intelligent processing techniques of SVMs and color-texture analysis methodologies into a sound pattern recognition framework. Concerning the system's accuracy this was measured using ROC analysis and found to exceed 94%.

摘要

如今,人们认为所有胃肠道癌中有95%源自腺瘤。腺瘤的早期检测可预防其演变为癌症。本文介绍了一种用于支持胃肠道视频内镜检查中腺瘤检测的新型系统。与其他系统不同,它接受标准的低分辨率视频输入,因此所需计算资源较少,便于携带且有潜力用于远程医疗应用。它将支持向量机的智能处理技术和颜色纹理分析方法结合到一个合理的模式识别框架中。关于该系统的准确性,通过ROC分析进行测量,发现超过了94%。

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