MRI-based prediction of conversion from clinically isolated syndrome to clinically definite multiple sclerosis using SVM and lesion geometry

BACKGROUND: Neuroanatomical pattern classification using support vector machines (SVMs) has shown promising results in classifying Multiple Sclerosis (MS) patients based on individual structural magnetic resonance images (MRI). OBJECTIVES: To determine whether pattern classification using SVMs facil...

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Published in:Brain Imaging Behav
Main Authors: Bendfeldt, Kerstin, Taschler, Bernd, Gaetano, Laura, Madoerin, Philip, Kuster, Pascal, Mueller-Lenke, Nicole, Amann, Michael, Vrenken, Hugo, Wottschel, Viktor, Barkhof, Frederik, Borgwardt, Stefan, Klöppel, Stefan, Wicklein, Eva-Maria, Kappos, Ludwig, Edan, Gilles, Freedman, Mark S., Montalbán, Xavier, Hartung, Hans-Peter, Pohl, Christoph, Sandbrink, Rupert, Sprenger, Till, Radue, Ernst-Wilhelm, Wuerfel, Jens, Nichols, Thomas E.
Format: Artigo
Language:Inglês
Published: 2018
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Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC6733701/
https://ncbi.nlm.nih.gov/pubmed/30155789
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11682-018-9942-9
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