Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis by Using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative-Reference-Cited by-同舟云学术

Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis by Using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative

Published:2020-09 Issue:3 Volume:296 Page:584-593
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Leung Kevin¹,Zhang Bofei¹,Tan Jimin¹^ORCID,Shen Yiqiu¹,Geras Krzysztof J.¹,Babb James S.¹,Cho Kyunghyun¹^ORCID,Chang Gregory¹,Deniz Cem M.¹^ORCID

Affiliation:

1. From the Courant Institute of Mathematical Sciences (K.L., K.C.) and Center for Data Science (B.Z., J.T., Y.S., K.J.G., K.C.), New York University, New York, NY; The Bernard and Irene Schwartz Center for Biomedical Imaging (K.J.G., J.S.B., C.M.D.) and Department of Radiology (K.J.G., J.S.B., G.C., C.M.D.), New York University Langone Health, 660 1st Ave, New York, NY 10016.

Funder

National Institutes of Health

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.2020192091

Reference30 articles.

1. Radiological Assessment of Osteo-Arthrosis

2. Development of criteria for the classification and reporting of osteoarthritis: Classification of osteoarthritis of the knee

3. Number of Persons With Symptomatic Knee Osteoarthritis in the US: Impact of Race and Ethnicity, Age, Sex, and Obesity