Automatic Deep Learning–assisted Detection and Grading of Abnormalities in Knee MRI Studies-Reference-Cited by-同舟云学术

Automatic Deep Learning–assisted Detection and Grading of Abnormalities in Knee MRI Studies

Published:2021-04-01 Issue:3 Volume:3 Page:e200165
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Astuto Bruno¹^ORCID,Flament Io¹^ORCID,K. Namiri Nikan¹^ORCID,Shah Rutwik¹^ORCID,Bharadwaj Upasana¹,M. Link Thomas¹^ORCID,D. Bucknor Matthew¹^ORCID,Pedoia Valentina¹^ORCID,Majumdar Sharmila¹^ORCID

Affiliation:

1. From the Center for Intelligent Imaging and Musculoskeletal and Quantitative Imaging Research Group, Department of Radiology and Biomedical Imaging (B.A., I.F., N.K.N., R.S., U.B., T.M.L., M.D.B., V.P., S.M.), and Center of Digital Health Innovation (V.P., S.M.), University of California–San Francisco, 1700 Fourth St, Suite 201, QB3 Building, San Francisco, CA 94107.

Funder

GE Healthcare

National Institute of Arthritis and Musculoskeletal and Skin Diseases

National Institutes of Health

Publisher

Radiological Society of North America (RSNA)

Subject

General Medicine

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.2021200165

Reference30 articles.

1. Quality of Life in Patients with Knee Osteoarthritis: A Commentary on Nonsurgical and Surgical Treatments