Table 1.
Dataset for testing the discrimination ability of glaucomatous eyes from normal using FAZ parameters obtained from DL models.
| Parameters/AI model | Normal | Glaucoma |
|---|---|---|
| Mean ± std | Mean ± std | |
| Total number of OCTA images | 135 (M-103, F-32) | 185(M-69, F-116) |
| Age (years) | 53 ± 12.25 | 58 ± 13.74 |
| Corrected visual acuity | 1.1 ± 0.4 | 1.15 ± 0.34 |
| SPH (diopter) | − 1.48 ± 2.26 | − 1.98 ± 2.04 |
| Inter-ocular pressure, IOP (mmHg) | 14.13 ± 3.05 | 13.61 ± 7.82 |
| Glaucoma confidence score (AI) | 0.0325 ± 0.0526 | 0.9958 ± 0.0105 |
| DL Model | AUC for glaucoma prediction | |
|---|---|---|
| FAZ perimeter | FAZ area | |
| Imagenet6 (commercial software) | 0.7768 ± 0.0258 | 0.7627 ± 0.0267 |
| Unet | 0.7973 ± 0.0241 | 0.8041 ± 0.0238 |
| Unet_AB | 0.7995 ± 0.0239 | 0.8024 ± 0.0239 |
| Unet_AB_Upsampling | 0.8046 ± 0.0237 | 0.8059 ± 0.0237 |
| Unet_AB_Upsampling_Add | 0.8084 ± 0.0235 | 0.8066 ± 0.0236 |
| Unet_AB_128_Upsampling_Add | 0.8092 ± 0.0235 | 0.8059 ± 0.0237 |
| Unet_AB_64_Upsampling_Add | 0.8165 ± 0.0223 | 0.8117 ± 0.0233 |
| LWBNA_Unet (developed in current study) | 0.8132 ± 0.0231 | 0.8057 ± 0.0237 |
Data exclusion criteria: SPH higher than − 6.0 and + 3.0 diopter; Age: lower than 20 years, M: Male, F: Female, Images: Visually unclear FAZ boundary.