Back to all papers

Grading Shoulder Osteoarthritis in X-ray Images Using Deep Learning Techniques.

May 21, 2026pubmed logopapers

Authors

Nguyen TP,Kim BT,Le NH,Kim SJ,Baek CH,Nguyen PA

Affiliations (3)

  • Graduate Institute of Data Science, College of Management, Taipei Medical University, New Taipei City, Taiwan.
  • Yeosu Baek Hospital, Yeosu City, South Korea.
  • AI Center, Tra Vinh University, Vinh Long, Vietnam.

Abstract

This study attempts to develop a deep learning (DL) model to grade Glenohumeral OA (GHOA) in shoulder x-ray images based on the Hamada classification system. Using a novel image enhancing technique, the final model achieved AUROC scores ranging from 0.87 to 0.96.

Topics

Deep LearningOsteoarthritisShoulder JointRadiographic Image Interpretation, Computer-AssistedJournal Article

Ready to Sharpen Your Edge?

Subscribe to join 11k+ peers who rely on RadAI Slice. Get the essential weekly briefing that empowers you to navigate the future of radiology.

We respect your privacy. Unsubscribe at any time.