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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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Главные авторы: | , , , , , , |
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Формат: | Artigo |
Язык: | Inglês |
Опубликовано: |
Public Library of Science
2014
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Предметы: | |
Online-ссылка: | 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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