Beyond the AJR: Machine Learning–Enabled Automated Scoring of Radiographic Findings of Rheumatoid Arthritis
Author:
Affiliation:
1. Department of Radiology, Cleveland Clinic Imaging Institute, Cleveland Clinic Foundation, 9500 Euclid Ave, Cleveland, OH 44195.
2. Department of Radiology, University of New Mexico School of Medicine, Albuquerque, NM.
Publisher
American Roentgen Ray Society
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://www.ajronline.org/doi/pdf/10.2214/AJR.22.28759
Reference4 articles.
1. A Crowdsourcing Approach to Develop Machine Learning Models to Quantify Radiographic Joint Damage in Rheumatoid Arthritis
2. Radiographic severity of Rheumatoid Arthritis in African Americans: Results from a multicenter observational study
3. Diminished cytokine-induced Jak/STAT signaling is associated with rheumatoid arthritis and disease activity
4. The Effect of Image Resolution on Deep Learning in Radiography
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