Application of deep learning techniques for effective assessment and prediction of arthritis in aged people

Abstract

Arthritis is an autoimmune disorder characterized by chronic synovial inflammation mainly leading to the destruction of joints and bone erosions. In aged people, arthritis is more common than any other disease, and it causes pain in the musculoskeletal system that lowers the quality of life of patients. The use of deep learning in medicine is increasing and has provided new avenues for research into a number of diseases. In this paper, we are using deep learning for detection of arthritis in finger joints from X-ray images of hand based on convolutional neural networks. For training 70 X-ray pictures are taken and for testing 10 X-ray pictures are taken. This system achieved more accuracy for test data sets. The proposed method will aid clinical researchers to learn more on arthritis.