A Comparison of Supervised Machine Learning Algorithms and Feature Vectors for MS Lesion Segmentation Using Multimodal Structural MRI

Machine learning is a popular method for mining and analyzing large collections of medical data. We focus on a particular problem from medical research, supervised multiple sclerosis (MS) lesion segmentation in structural magnetic resonance imaging (MRI). We examine the extent to which the choice of...

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Detalhes bibliográficos
Main Authors: Sweeney, Elizabeth M., Vogelstein, Joshua T., Cuzzocreo, Jennifer L., Calabresi, Peter A., Reich, Daniel S., Crainiceanu, Ciprian M., Shinohara, Russell T.
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2014
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4004572/
https://ncbi.nlm.nih.gov/pubmed/24781953
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0095753
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