Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection-Reference-Cited by-同舟云学术

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Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection

Published:2018-10 Issue:1 Volume:289 Page:160-169
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Liu Fang¹^ORCID,Zhou Zhaoye¹,Samsonov Alexey¹,Blankenbaker Donna¹,Larison Will¹,Kanarek Andrew¹,Lian Kevin¹,Kambhampati Shivkumar¹,Kijowski Richard¹

Affiliation:

1. From the Department of Radiology, University of Wisconsin School of Medicine and Public Health, 1111 Highland Ave, Madison, WI 53705-2275 (F.L., A.S., D.B., W.L., A.K., K.L., S.K., R.K.); and Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minn (Z.Z.).

Funder

National Institute of Arthritis and Musculoskeletal and Skin Diseases

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.2018172986

Reference37 articles.

1. Effect of weight reduction in obese patients diagnosed with knee osteoarthritis: a systematic review and meta-analysis

2. Aerobic walking or strengthening exercise for osteoarthritis of the knee? A systematic review

3. Land-based Exercise for Osteoarthritis of the Knee: A Metaanalysis of Randomized Controlled Trials

4. OA clinical trials: current targets and trials for OA. Choosing molecular targets: what have we learned and where we are headed?

5. How Close are We to Having Structure-Modifying Drugs Available?

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