Table 2.

Final validation results for all views.

View	Average slice error	Average error	Regression error	R2
Axial	6.28	4.88	5.09	0.82
Coronal	6.38	4.91	5.04	0.83
Sagittal	5.71	4.45	4.52	0.86
Combined			4.62	0.86

The Average Slice Error column evaluates the final error of our model by doing a simple average across all slices of the volume. The Average Error column uses the same information for the slice column, but instead of calculating the average error for each slice, calculates the mean prediction of all slices, and compare with the actual age. The Regression Error column is the error of using linear regression instead of an average to classify the whole volume. All values are mean absolute errors.