We introduce a fully automated, open-source tool for staging knee osteoarthritis severity from X-ray images.
Recent developments in machine learning, specifically in the area of deep learning, are transforming medical image analysis, yet automated analysis of X-ray and Magnetic Resonance Imaging data remains a major bottleneck in OA research. The Osteoarthritis Initiative (OAI) database presents a unique opportunity to transfer advances in deep learning to osteoarthritis research. Toward that goal, we demonstrate the feasibility of deep learning approaches to automate staging of knee OA severity from X-ray data.
You can run our software using docker software. Follow the instruction on our official github repository https://github.com/stanfordnmbl/kneenet-docker