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Multiparameter image visualization with self-organizing maps

机译:具有自组织图的多参数图像可视化

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Abstract: The effective display of multiparameter medical image data sets is assuming increasing importance as more distinct imaging modalities are becoming available. For medical purposes, one desirable goal is to fuse such data sets into a single most informative gray-scale image without making rigid classification decisions. A visualization technique based on a non-linear projection onto a 1D self-organizing map is described and examples are shown. The SOM visualization technique is fast, theoretically attractive, a useful complement to projection- pursuit or other linear techniques, and may be of particular value in calling attention to specific regions in a multiparameter image where the component images should be examined in detail. !4
机译:摘要:随着越来越多的独特成像方式的出现,多参数医学图像数据集的有效显示正变得越来越重要。出于医学目的,一个理想的目标是将此类数据集融合到一个最有用的灰度图像中,而无需做出严格的分类决策。描述了一种基于非线性投影到一维自组织图上的可视化技术,并显示了示例。 SOM可视化技术是快速的,理论上吸引人的,对投影追踪或其他线性技术的有用补充,在唤起对多参数图像中应详细检查组件图像的特定区域的关注方面可能具有特殊价值。 !4

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