Table 1 Dataset characteristics
From: Equity-enhanced glaucoma progression prediction from OCT with knowledge distillation
Datasets | Items | Statistics |
|---|---|---|
Glaucoma detection | Number of patients (eyes) | 10,000 (10,000) |
Average age | 60.7 ± 6.3 years | |
Data type | OCT B-scans | |
Label type | Binary glaucomatous status | |
Number of data samples | 10,000 | |
Number of B-scans per sample | 200 | |
Label distribution (%) • Non-glaucoma • Glaucoma | 51.3 48.7 | |
Demographic distribution | Fig. 2a | |
Glaucoma progression | Number of patients (eyes) | 500 (500) |
Average age | 62.9 ± 6.4 years | |
Data type | OCT B-scans | |
Label type | Binary glaucomatous status; binary progression status | |
Number of data samples | 500 | |
Number of B-scans per sample | 200 | |
Label distribution (%) • Mean Deviation (MD) fast • Total Deviation (TD) pointwise | Fig. 2b Fig. 2b | |
Demographic distribution | Fig. 2b |
