Deep-Learning-Based Neural Tissue Segmentation of MRI in Multiple Sclerosis: Effect of Training Set Size.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date: Oct 18, 2019

Abstract

BACKGROUND: The dependence of deep-learning (DL)-based segmentation accuracy of brain MRI on the training size is not known.

Authors

  • Ponnada A Narayana
    Department of Diagnostic and Interventional Imaging, McGovern Medical School, University of Texas Health Science Center, Houston, Texas, USA.
  • Ivan Coronado
    Department of Diagnostic and Interventional Imaging, McGovern Medical School, University of Texas Health Science Center, Houston, Texas, USA.
  • Sheeba J Sujit
    Department of Diagnostic and Interventional Imaging, McGovern Medical School, University of Texas Health Science Center, Houston, Texas, USA.
  • Jerry S Wolinsky
    Department of Neurology, McGovern Medical School, University of Texas Health Science Center, Houston, Texas, USA.
  • Fred D Lublin
    Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Refaat E Gabr
    Department of Diagnostic and Interventional Imaging, McGovern Medical School, University of Texas Health Science Center, Houston, Texas, USA.

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