Automated Classification of Radiographic Knee Osteoarthritis Severity Using Deep Neural Networks

Abstract

An end-to-end interpretable model that takes full radiographs as input and predicts KL scores with state-of-the-art accuracy, performs as well as musculoskeletal radiologists, and does not require manual image preprocessing was developed. Saliency maps suggest the model's predictions were based on clinically relevant information. <i>Supplemental material is available for this article.</i> © RSNA, 2020.