Table 2.
The AUC of the machine learning models alone and in combination.
Number | Cases | AUC (mean ± SD) |
---|---|---|
#1 | Disc fundus image (green channel) | 0.940 ± 0.039 |
#2 | Disc RNFL thickness map | 0.942 ± 0.037 |
#3 | Macular GCC thickness map | 0.944 ± 0.032 |
#4 | Disc deviation map | 0.949 ± 0.030 |
#5 | Macular deviation map | 0.952 ± 0.029 |
#6 | Combination of #2 and #4 (images from disc OCT data) | 0.953 ± 0.032 |
#7 | Combination of #3 and #5 (images from macular OCT data) | 0.954 ± 0.031 |
#8 | Combination of #1, #2, and #4 (images from disc OCT data with fundus image) | 0.959 ± 0.031 |
#9 | Combination of #1, #2, and #3 (automatically detected disc and macular center were not used in creating images) | 0.961 ± 0.029 |
#10 | Combination of #2, #3, #4, and #5 (images from OCT data) | 0.963 ± 0.030 |
#11 | Combination of all images | 0.963 ± 0.029 |