首页> 外文会议>Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE >Reference database of images and video sequences in gastrointestinal endoscopy: a medical approach
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Reference database of images and video sequences in gastrointestinal endoscopy: a medical approach

机译:胃肠镜检查中的图像和视频序列参考数据库:一种医学方法

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Image and video sequences take an important place in the medical diagnosis process. In digestive investigation units, endoscopical examinations lead to an important volume of images and video data, which are usually lost as soon as they are produced. The aim of this project is to build a reference data bank of images and video sequences, to organize the content indexing system for implementing and retrieval of specific images, in the field of computer-assisted diagnosis of digestive endoscopical lesions. This paper reports the hypothesis that sustains the project. Indexing of endoscopical images by content refers to 2 different approaches. The operator describes the image in an implicit and symbolic way and joins other levels of information such as consistency of lesion or medical context; the computer scientist uses more elementary and quantitative characteristics. Bringing together the medical symbolic space and the observation space leads to a consistent base of knowledge. The endoscopical image is described as a scene of simple or complex objects each of them characterized by elementary attributes, and these descriptors are listed.
机译:图像和视频序列在医学诊断过程中占有重要地位。在消化系统检查单位中,内窥镜检查会产生大量图像和视频数据,通常在产生图像和视频数据后立即丢失。该项目的目的是建立图像和视频序列的参考数据库,以在消化内镜病变的计算机辅助诊断领域组织用于实施和检索特定图像的内容索引系统。本文报告了支持该项目的假设。通过内容对内窥镜图像进行索引是指两种不同的方法。操作员以隐式和象征性的方式描述图像,并加入其他级别的信息,例如病变的一致性或医疗环境;计算机科学家使用了更多的基本和定量特征。将医学符号空间和观察空间放在一起,可以形成一致的知识基础。内窥镜图像被描述为简单物体或复杂物体的场景,每个物体都具有基本属性,并列出了这些描述符。

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