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High-grade and low-grade gliomas: differentiation by using perfusion MR imaging

โœ Scribed by B. Hakyemez; C. Erdogan; I. Ercan; N. Ergin; S. Uysal; S. Atahan


Book ID
116387995
Publisher
Elsevier Science
Year
2005
Tongue
English
Weight
368 KB
Volume
60
Category
Article
ISSN
0009-9260

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## 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