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Information for prevention: Online data mining system for early detection of skin cancer and awareness education.

机译:预防信息:在线数据挖掘系统,用于皮肤癌的早期检测和意识教育。

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We present a visualization oriented data mining tool designed for educational exploration of biomedical images. The main functions of the tool are accessible via two interfaces: Query by Example and Query by Features. Each interface has visual feedback functions associated with it. The query-by-example interface allows the user to do similarity search using multiple image features. The visual feedback consists of positions of feature values in the database population distribution. Users can select one of three classifiers. Classification incorporates a measure of uncertainty that is based on class differentiation quality, Visual feedback includes visualizations of class likelihoods and uncertainty. Query-by-features interface helps the user explore the relationships among features and diagnoses. The visual feedback includes example images of extreme feature values, images from the database that satisfy query criteria and diagnoses distribution charts. Overall, the tool is designed to increase awareness of visual indicators of risk in biomedical images. The educational aspect is evaluated via pre and post tests. While the present application is focused on skin cancer awareness, the ideas are applicable to other types of biomedical images with focus objects.
机译:我们提出了一种面向可视化的数据挖掘工具,旨在对生物医学图像进行教育探索。该工具的主要功能可通过两个界面访问:“按示例查询”和“按功能查询”。每个界面都有与其相关的视觉反馈功能。示例查询界面允许用户使用多个图像特征进行相似性搜索。视觉反馈由特征值在数据库总体分布中的位置组成。用户可以选择三个分类器之一。分类包含基于类别差异质量的不确定性度量,视觉反馈包括类别可能性和不确定性的可视化。按功能查询界面可帮助用户探索功能与诊断之间的关系。视觉反馈包括极端特征值的示例图像,数据库中满足查询条件并诊断分布图的图像。总体而言,该工具旨在提高对生物医学图像中风险视觉指标的认识。通过预测试和后测试对教育方面进行评估。尽管本申请专注于皮肤癌的认识,但是这些思想适用于具有焦点对象的其他类型的生物医学图像。

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