Work

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

Year: 2026

Type: book-chapter

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.

Source: Studies in health technology and informatics

DOI: 10.3233/shti260215

Authors: Thuan Phat Nguyen, Bo-Taek Kim, Ngoc Hoang Le, Seung-Jin Kim, Chang-Hee Baek, Phung-Anh Nguyen

Institutions: Taipei Medical University, Yonsei Sarang Hospital, Yokosuka City Hospital, Tra Vinh University

Language: English

Topic: Shoulder Injury and Treatment

Subfield: Surgery

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W7161965072

FWCI:

Cites:

Cited by:

Related to: