Abstract
Purpose: Prediction of radiographic osteoarthritis progression over short- and mid-terms may deepen understanding of the disease etiology and support the related clinical research. Prior imaging-oriented studies have focused mainly on individual imaging modalities. In particular, end-to-end deep learning methods have become increasingly common for knee X-rays. On the other hand, MR image analysis has been largely limited to manually designed imaging biomarkers. Such biomarkers are typically derived from rather small sample sizes and concern only the primarily affected tissues.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callSimilar Papers
More From: Osteoarthritis and Cartilage
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
