Identification and diagnosis of meniscus tear by magnetic resonance imaging using a deep learning model

Abstract

Deep learning model exerted unique effect in terms of reducing doctors' workload and improving diagnostic accuracy. Injured and healthy menisci could be more accurately identified and classified based on training and learning datasets. This model could also distinguish torn from degenerated menisci, making it an effective tool for MRI-assisted diagnosis of meniscus injuries in clinical practice.