Table 4.
DCNN-based AI model | Automated-tracing AI software | |||||||
---|---|---|---|---|---|---|---|---|
Sensitivity | Specificity | Precision | Accuracy | Sensitivity | Specificity | Precision | Accuracy | |
Class I | 0.97 | 0.98 | 0.95 | 0.97 | 0.90 | 0.83 | 0.72 | 0.85 |
Class II | 0.97 | 0.95 | 0.91 | 0.96 | 0.98 | 0.95 | 0.91 | 0.96 |
Class III | 0.88 | 0.99 | 0.97 | 0.95 | 0.68 | 1.00 | 1.00 | 0.89 |
Micro-average | 0.94 | 0.97 | 0.94 | 0.96 | 0.85 | 0.93 | 0.85 | 0.90 |
Macro-average | 0.94 | 0.97 | 0.94 | 0.96 | 0.85 | 0.93 | 0.90 | 0.88 |
DCNN, deep convolutional neural network.