Deep Learning Approach for Anterior Cruciate Ligament Lesion Detection: Evaluation of Diagnostic Performance Using Arthroscopy as the Reference Standard - Zhang, Lingyan; Li, Mifang; Zhou, Yujia; Lu, Guangming; Zhou, Quan (Journal of magnetic resonance imaging, 2020)
Keywords: Accuracy; Algorithms; Anterior cruciate ligament; Anterior Cruciate Ligament - diagnostic imaging; Anterior Cruciate Ligament Injuries - diagnostic imaging; anterior cruciate ligament injury; Arthroscopy; Artificial neural networks; Automation; Classification; convolutional neural network; Deep Learning; Diagnostic systems; Feasibility studies; Field strength; Humans; Injuries; Knee; Lesions; Ligaments; Machine learning; Magnetic Resonance Imaging; Medical imaging; Model accuracy; Neural networks; Performance evaluation; Population studies; Proton density (concentration); Reference Standards; Reproducibility of Results; Retrospective Studies; Sensitivity and Specificity; Sports injuries; Statistical analysis; Statistical tests; Test sets; deep learning; anterior cruciate ligament injury; magnetic resonance imaging; convolutional neural network