Multiparameter image visualization with self-organizing maps

Armando Manduca

doi:10.1117/12.185195

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9 September 1994 Multiparameter image visualization with self-organizing maps

Armando Manduca

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Proceedings Volume 2359, Visualization in Biomedical Computing 1994; (1994) https://doi.org/10.1117/12.185195
Event: Visualization in Biomedical Computing 1994, 1994, Rochester, MN, United States

Abstract

The effective display of multi-parameter medical image data sets is assuming increasing importance as more distinct imaging modalities are becoming available. For medical pruposes, 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, and has properties which compliment those of projection-pursuit or other linear techniques. It may be of particular value in calling attention to specific regions in a multi-parameter image where the component images should be examined in detail.

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Armando Manduca "Multiparameter image visualization with self-organizing maps", Proc. SPIE 2359, Visualization in Biomedical Computing 1994, (9 September 1994); https://doi.org/10.1117/12.185195

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