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

Elizabeth M. Sweeney; Joshua T. Vogelstein; Jennifer L. Cuzzocreo; Peter A. Calabresi; Daniel S. Reich; Ciprian M. Crainiceanu; Russell T. Shinohara

doi:10.1371/journal.pone.0095753

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Open Access

Peer-reviewed

Research Article

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

Elizabeth M. Sweeney ,

* E-mail: emsweene@jhsph.edu

Affiliations Department of Biostatistics, The Johns Hopkins University, Baltimore, Maryland, United States of America, Translational Neuroradiology Unit, Neuroimmunology Branch, National Institute of Neurological Disease and Stroke, National Institute of Health, Bethesda, Maryland, United States of America
⨯
Joshua T. Vogelstein,

Affiliations Department of Statistical Science, Duke University, Durham, North Carolina, United States of America, Center for the Developing Brain, Child Mind Institute, New York, New York, United States of America
⨯
Jennifer L. Cuzzocreo,

Affiliation Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
⨯
Peter A. Calabresi,

Affiliation Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
⨯
Daniel S. Reich,

Affiliations Department of Biostatistics, The Johns Hopkins University, Baltimore, Maryland, United States of America, Translational Neuroradiology Unit, Neuroimmunology Branch, National Institute of Neurological Disease and Stroke, National Institute of Health, Bethesda, Maryland, United States of America, Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
⨯
Ciprian M. Crainiceanu,

Affiliation Department of Biostatistics, The Johns Hopkins University, Baltimore, Maryland, United States of America
⨯
Russell T. Shinohara

Affiliation Department of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
⨯

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

Elizabeth M. Sweeney,
Joshua T. Vogelstein,
Jennifer L. Cuzzocreo,
Peter A. Calabresi,
Daniel S. Reich,
Ciprian M. Crainiceanu,
Russell T. Shinohara

Published: April 29, 2014
https://doi.org/10.1371/journal.pone.0095753

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