Deep learning segmentation of gadolinium-enhancing lesions in multiple sclerosis.

Journal: Multiple sclerosis (Houndmills, Basingstoke, England)
Published Date: May 22, 2020

Abstract

OBJECTIVE: The aim of this study is to assess the performance of deep learning convolutional neural networks (CNNs) in segmenting gadolinium-enhancing lesions using a large cohort of multiple sclerosis (MS) patients.

Authors

  • Ivan Coronado
    Department of Diagnostic and Interventional Imaging, McGovern Medical School, University of Texas Health Science Center, Houston, Texas, USA.
  • Refaat E Gabr
    Department of Diagnostic and Interventional Imaging, McGovern Medical School, University of Texas Health Science Center, Houston, Texas, USA.
  • Ponnada A Narayana
    Department of Diagnostic and Interventional Imaging, McGovern Medical School, University of Texas Health Science Center, Houston, Texas, USA.

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