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Optimal feature selection for support vector machines

✍ Scribed by Minh Hoai Nguyen; Fernando de la Torre


Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
382 KB
Volume
43
Category
Article
ISSN
0031-3203

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## Abstract Dynamic susceptibility contrast magnetic resonance perfusion imaging (DSC‐MRI) is a useful method to characterize gliomas. Recently, support vector machines (SVMs) have been introduced as means to prospectively characterize new patients based on information from previous patients. Based