Automatic evaluation of atlantoaxial subluxation in rheumatoid arthritis by a deep learning model
Abstract
This work aims to develop a deep learning model, assessing atlantoaxial subluxation (AAS) in rheumatoid arthritis (RA), which can often be ambiguous in clinical practice.
Type
Publication
Arthritis Research & Therapy
Bowen Wang
Specially-Appointed Researcher/Fellow
Yuta Nakashima
Professor
Yuta Nakashima is a professor with Institute for Datability Science, Osaka University. His research interests include computer vision, pattern recognition, natural langauge processing, and their applications.
Hajime Nagahara
Professor
He is working on computer vision and pattern recognition. His main research interests lie in image/video recognition and understanding, as well as applications of natural language processing techniques.