Deep‐Learning‐Based Neural Tissue Segmentation of MRI in Multiple Sclerosis: Effect of Training Set Size-Reference-Cited by-同舟云学术

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

Published:2019-10-18 Issue:5 Volume:51 Page:1487-1496
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:J Magn Reson Imaging

Author:

Narayana Ponnada A.¹^ORCID,Coronado Ivan¹,Sujit Sheeba J.¹^ORCID,Wolinsky Jerry S.²,Lublin Fred D.³,Gabr Refaat E.¹

Affiliation:

1. Department of Diagnostic and Interventional Imaging, McGovern Medical SchoolUniversity of Texas Health Science Center Houston Texas USA

2. Department of Neurology, McGovern Medical SchoolUniversity of Texas Health Science Center Houston Texas USA

3. Department of NeurologyIcahn School of Medicine at Mount Sinai New York New York USA

Funder

National Institutes of Health

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.26959

Reference39 articles.

1. The prevalence of MS in the United States

2. Imaging outcome measures for progressive multiple sclerosis trials

3. Brain Atrophy in Multiple Sclerosis

4. Imaging as an Outcome Measure in Multiple Sclerosis

5. Magnetic Resonance Imaging in Multiple Sclerosis

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