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Journal article

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

Abstract:

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). To determine whether pattern classification using SVMs facilitates predicting conversion to clinically definite multiple sclerosis (CDMS) from clinically isolated syndrome (CIS). We used baseline MRI data from 364 patients with CIS, randomised to interferon beta-1b or placebo. Non...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s11682-018-9942-9

Authors


Publisher:
Springer US
Journal:
Brain Imaging and Behavior More from this journal
Volume:
13
Issue:
5
Pages:
1361–1374
Publication date:
2018-08-28
Acceptance date:
2018-07-30
DOI:
EISSN:
1931-7565
ISSN:
1931-7557
Keywords:
Pubs id:
pubs:922454
UUID:
uuid:d10a7d51-3aa5-4f6c-a298-c44c560c69ff
Local pid:
pubs:922454
Source identifiers:
922454
Deposit date:
2018-10-30

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