Table 1 Summary of the demographics of training, validation, and test data sets.
From: Deep learning models for screening of high myopia using optical coherence tomography
Training and validation set | Test set | |||||
|---|---|---|---|---|---|---|
No. of patients | 434 | 58 | ||||
Age (mean ± SD) | 58.85 ± 13.55 | 64.08 ± 10.95 | ||||
Sex, (male:female) | 202:232 | 28:30 | ||||
No. of OCT images | 1200 (600 eyes) | 180 (90 eyes) | ||||
Class | Myopia | Normal | Other | Myopia | Normal | Other |
|---|---|---|---|---|---|---|
No. of patients | 121 | 162 | 151 | 19 | 17 | 22 |
Age (mean ± SD) | 53.7 ± 12.85 | 56.16 ± 13.75 | 66.57 ± 10.16 | 63.0 ± 12.21 | 63.23 ± 12.76 | 66.0 ± 7.12 |
Sex, (male:female) | 57:64 | 80:82 | 65:86 | 8:11 | 5:12 | 15:7 |
No. of right eyes | 97 | 103 | 102 | 17 | 15 | 15 |
No. of left eyes | 103 | 97 | 98 | 13 | 15 | 15 |
Axial length (mean ± SD) | 29.25 ± 2.27 | 23.75 ± 0.96 | 23.46 ± 0.89 | 29.23 ± 1.72 | 23.53 ± 1.13 | 23.72 ± 0.91 |
