Predictive modeling in glioma grading fr
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Kyrre E. Emblem; Frank G. Zoellner; Bjorn Tennoe; Baard Nedregaard; Terje Nome;
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Article
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2008
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John Wiley and Sons
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English
β 490 KB
## Abstract The advantages of predictive modeling in glioma grading from MR perfusion images have not yet been explored. The aim of the current study was to implement a predictive model based on support vector machines (SVM) for glioma grading using tumor blood volume histogram signatures derived f