Table 5.
Mean Absolute Error Computed for the Circumpapillary Retinal Nerve Fiber Layer Thickness Estimation Using the 3-Dimensional Convolutional Neural Network Model and Circumpapillary Retinal Nerve Fiber Layer Forecasting Using the Forecasting Model That Used the Augmented Feature Set
| Diagnosis | 3-Dimensional Convolutional Neural Network | Forecasting Model That Used the Augmented Feature Set | P Value* |
|---|---|---|---|
| Global mean | 2.71 (2.36) | 1.81 (1.77) | <0.001 |
| Temporal | 4.05 (3.81) | 2.44 (2.68) | <0.001 |
| Superior | 4.56 (4.65) | 2.69 (2.33) | <0.001 |
| Nasal | 4.31 (3.97) | 2.56 (2.20) | <0.001 |
| Inferior | 4.94 (4.42) | 3.06 (2.45) | <0.001 |
Data are mean (standard deviation) in micrometers.
Paired t test between the errors.