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...

Descripción completa

Detalles Bibliográficos
Autores principales: Sweeney, Elizabeth M., Vogelstein, Joshua T., Cuzzocreo, Jennifer L., Calabresi, Peter A., Reich, Daniel S., Crainiceanu, Ciprian M., Shinohara, Russell T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4004572/
https://www.ncbi.nlm.nih.gov/pubmed/24781953
http://dx.doi.org/10.1371/journal.pone.0095753

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4004572/
https://www.ncbi.nlm.nih.gov/pubmed/24781953
http://dx.doi.org/10.1371/journal.pone.0095753

Ejemplares similares