Predicting early symptomatic osteoarthritis in the human knee using machine learning classification of magnetic resonance images from the osteoarthritis initiative-Reference-Cited by-同舟云学术

Predicting early symptomatic osteoarthritis in the human knee using machine learning classification of magnetic resonance images from the osteoarthritis initiative

Published:2017-03-23 Issue:10 Volume:35 Page:2243-2250
ISSN:0736-0266
Container-title:Journal of Orthopaedic Research
language:en
Short-container-title:J. Orthop. Res.

Author:

Ashinsky Beth G.¹,Bouhrara Mustapha¹,Coletta Christopher E.²,Lehallier Benoit³,Urish Kenneth L.⁴,Lin Ping-Chang⁵,Goldberg Ilya G.²,Spencer Richard G.¹

Affiliation:

1. Laboratory of Clinical Investigation; Magnetic Resonance Imaging and Spectroscopy Section; National Institute on Aging, NIH; 251 Bayview Boulevard Baltimore 21224 Maryland

2. Image Informatics and Computational Biology Unit; National Institute on Aging, NIH; Baltimore Maryland

3. Department of Neurology and Neurological Sciences; Stanford University School of Medicine; Stanford California

4. Bone and Joint Center; Magee Women's Hospital; Department of Orthopaedic Surgery; Pittsburgh Pennsylvania

5. Department of Radiology; College of Medicine; Howard University; Washington, DC Washington

Funder

National Institute on Aging

National Institutes of Health

Publisher

Wiley

Subject

Orthopedics and Sports Medicine

Reference45 articles.

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4. Diagnosis of osteoarthritis: imaging;Braun;Bone,2012

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