视频胶囊内窥镜内三维形态识别的新方法

Proceedings of the 2011 Conference on Design & Architectures for Signal & Image Processing (DASIP) Pub Date : 2011-11-01 DOI:10.1109/DASIP.2011.6136872

J. Ayoub, B. Granado, O. Romain, Y. Mohanna

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引用次数: 1

摘要

本文介绍了一种利用现有无线胶囊内窥镜(WCE)的新方法，并克服了其一些重要的局限性。详细列出并讨论了集成支持向量机分类器的基本和关键任务，以及提高其诊断能力所需的新特征。此外，还对大型验证机进行了评估和测试。体外实验结果令人鼓舞，肠息肉的正确分类率约为93.7%。该工作包含了对检测率和计算复杂度的详细统计。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A new approach to 3D form recognition within video capsule endoscopic

This paper describes a novel approach to capsular endoscopy that takes advantage of existing wireless capsule endoscopy (WCE) and overcomes some of its important limits. The basic and essential task concerning the integration of SVM classifier is listed and discussed in details, as well as the new features required to improve its diagnostic capability. In addition, a large scale demonstrator has been evaluated and tested. In vitro experimental results were encouraging and show correct classification rate of intestinal polyps of approximately 93.7%. The work contains detailed statistics about the detection rate and the computing complexity.

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Proceedings of the 2011 Conference on Design & Architectures for Signal & Image Processing (DASIP)

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