Table 2.
Sensitivity, specificity, and accuracy of the model for detecting neovascular AMD and classifying RAP and PCV OCT images.
| Normal vs. neovascular AMDa | ||
|---|---|---|
| Predicted normal | Predicted wet AMD | |
| Actual normal | 421 | 4 |
| Actual neovascular AMDa | 3 | 365 |
| RAP vs. PCV | ||
|---|---|---|
| Predicted PCV | Predicted RAP | |
| Actual PCV | 183 | 23 |
| Actual RAPb | 20 | 169 |
Neovascular AMD, neovascular age-related macular degeneration; RAP, retinal angiomatous proliferation; PCV, polypoidal choroidal vasculopathy; OCT, optical coherence tomography.
aThe sensitivity of the classifier for detecting wet AMD eyes was 99.2%, the specificity was 99.1%, and the accuracy was 99.1%.
bThe sensitivity of the classifier for detecting RAP was 89.4%, the specificity was 88.8%, and the accuracy was 89.1%.