From: Automated diagnosis and staging of Fuchs’ endothelial cell corneal dystrophy using deep learning
Image level (n = 7380 images) | |||
Healthy cornea prediction output | Early-stage FECD prediction output | Late-stage FECD prediction output | |
AUC ± SE (95% CI) | 0.998 ± 0.001 (0.997, 0.999) | 0.984 ± 0.003 (0.979, 0.999) | 0.974 ± 0.005 (0.964, 0.985) |
Sensitivity | 99% | 91% | 92% |
Specificity | 98% | 97% | 91% |
Cutoff value | 0.93 | 0.04 | 0.01 |
Eye level (n = 41 eyes) | |||
Healthy cornea prediction output | Early-stage FECD prediction output | Late-stage FECD prediction output | |
AUC ± SE (95% CI) | 1.0 (1, 1) | 0.997 ± 0.005 (0.988, 1.0) | 0.988 ± 0.017 (0.954, 1.0) |
Sensitivity | 100% | 100% | 100% |
Specificity | 100% | 97% | 98% |
Cutoff value | 0.49 | 0.03 | 0.67 |