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MedlSeek: A Web Based Diffusion System for Medical Visual Information

机译:MedlSeek:基于Web的医学视觉信息扩散系统

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摘要

This paper presents a new metadata model to describe and retrieve medical visual information, such as images and their diagnoses, using the Web. The classes of this model allow to describe medical images of different modalities, including their properties, components and relationships. This model supports the international classification of diseases and related health problems (i.e. ICD-10), and it has been used as a base for the implementation of the MedlSeek (Medical Image Seek) prototype. This system allows authorized users to describe, store and retrieve medical images and their associated diagnostic information on the web for fast information exchange. Thus, this paper proposes a persistent structure for relational databases to storage and retrieve medical visual information based on the proposed the metadata model. A description of the prototype structure also is provided.
机译:本文提出了一种新的元数据模型,用于使用Web描述和检索医学视觉信息,例如图像及其诊断。该模型的类别允许描述不同形式的医学图像,包括它们的属性,组成和关系。该模型支持疾病和相关健康问题的国际分类(即ICD-10),并且已用作实施MedlSeek(医学图像搜索)原型的基础。该系统允许授权用户在网络上描述,存储和检索医学图像及其相关的诊断信息,以进行快速信息交换。因此,本文基于元数据模型,提出了一种用于关系数据库的持久性结构,用于存储和检索医学可视信息。还提供了原型结构的描述。

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