I2Cnet
Image Indexing by Content Network

I2Cnet (Image Indexing by Content network) is an on-going project, whose goal is to provide network-transparent content-based access to medical image archives as an Internet/intranet added-value service. Through a standard Web browser, healthcare professionals will be able to interact with image collections, browse images similar to a query image, compare these images to images from other collections, and contribute their own images or comments.

I2Cnet (基于内容的图像索引 )是正在进行的项目，其目的是提供基于内容的，透明化的获取医学图像文献，作为Internet/intranet的增值服务功能。通过标准的WEB浏览器，专业健康护理网就能够使图像集相关联。浏览图相类似于要查询的图像，把这些图像与其它图像集进行比较，提供他们的图像和见解。

I2Cnet is organized as a network of servers and brokers. Each server distributes its own set of services to the brokers, which maintain the I2Cnet service directory.

I2Cnet 是服务商和代理商组建的网络。每个服务商把成套的服务项目分配给不同的代理商，保持I2Cnet的服务项目。

 

Basic Features

基本特征

Specific I2Cnet services available on the WWW are:

在INTERNET上，指定的I2Cnet可提供的服务

  • virtual workspaces are shared or private data collections which are associated with service pages

  • 虚拟的工作区是与服务网页有关共享的或私人的数据

  • database browsing allows users to browse through medical image archives and related information

  • 浏览的数据库 允许用户浏览医学图像文献和相关信息

  • image analysis and processing facilitates the remote execution of algorithms through a WWW interface via an algorithm execution tool

  • 图像分析和处理 通过internet接口，借助于算法执行工具，简化算法的远程执行

    image description employs observation and editing tools, in the creation of visual queries

  • 图像描述 借助观察和编辑工具 ,创建可视查询

  • image retrieval by content allows users to retrieve, from a specific image class, images with a visual information content close to that of a visual query

  • 据内容的图像检索，允许用户从指定的图像类别里进行检索,该图像的可视信息与可视查询内容相近

  • on-line collaboration provides a forum where users may discuss and comment data objects, using an on-line 搕alk?facility

  • 在线合作，为用户提供一个在线的讨论专栏

  • image annotation facilitates rich interaction with medical image collections through the creation, viewing, and communication of annotations on groups of images.

  • 图像注解 通过对多组图像注解的建立，浏览，和交流，简化医学图像集间复杂的关系.

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