Genetic Algorithm Automated Generation of Multivariate Color Tables for Visualization of Multimodal Medical Data Sets
作者： Karl G. Baum , María Helguera , Andrzej Król
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摘要: In many applications there is a need to visualize multidimensional data sets. Using spatial relationships alone, display limited two or three dimensions. The use of color, in addition relationships, increases the dimensionality that can be effectively visualized. Use color usually achieved through application tables. generation tables not an easy task, and since space relatively large it nearly impossible for individual consider all possible options. A genetic algorithm was developed automate this generating joint high-resolution dynamic contrast-enhanced magnetic resonance imaging F-18-FDG positron emission tomography results are promising, producing new meet defined requirements.
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