From: Automated detection of anterior cruciate ligament tears using a deep convolutional neural network
Evaluator (years of experience) | Sensitivity(%) | Specificity(%) | Accuracy(%) | PPV(%) | NPV(%) |
---|---|---|---|---|---|
CNN | 91.0 | 86.0 | 88.5 | 87.0 | 91.0 |
K1 (31) | 91.0 | 87.0 | 89.0 | 87.5 | 90.6 |
K2 (21) | 96.0 | 89.0 | 92.5 | 89.7 | 95.7 |
K3 (17) | 97.0 | 80.0 | 88.5 | 82.9 | 96.4 |
K4 (11) | 95.0 | 79.0 | 87.0 | 81.9 | 94.0 |
K5 (9) | 99.0 | 36.0 | 67.5 | 60.7 | 97.3 |
K6 (10) | 91.0 | 88.0 | 89.5 | 88.3 | 90.7 |
K7 (9) | 97.0 | 73.0 | 85.0 | 78.2 | 96.1 |
K8 (9) | 95.0 | 81.0 | 88.0 | 83.3 | 94.2 |
K9 (9) | 89.0 | 58.0 | 73.5 | 67.9 | 84.1 |
K10 (8) | 88.0 | 82.0 | 85.0 | 83.0 | 87.2 |
R1 (16) | 89.5 | 80.0 | 84.8 | 81.7 | 87.9 |
R2 (14) | 97.0 | 74.0 | 85.5 | 78.9 | 96.1 |