This article discusses the use of deep neural networks to detect and classify special findings in hand X-ray images for the evaluation of joint destruction caused by rheumatoid arthritis. The proposed method shows higher accuracy and detection rates compared to individual detection models, and has potential for use in an automatic diagnosis system.
