Demystifying Deep Learning Techniques in Knee Implant Identification
摘要
Accurate identification of an orthopedic implant before a revision surgery is very important and helps both physicians and patients in numerous aspects. The proposed system uses a novel framework to identify five different total knee arthroplasty implants from plain X-ray images using Deep learning techniques. Anterior-Posterior and Lateral images are used together in this study to make identification much more accurate. The proposed system identifies five different knee implants with an accuracy of 86.25% and an Area Under curve of 0.974.