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. Author manuscript; available in PMC: 2021 Jan 1.
Published in final edited form as: Ophthalmol Glaucoma. 2019 Nov 8;3(1):14–24. doi: 10.1016/j.ogla.2019.11.001

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.