Research Article
[Retracted] Design of Intelligent Diagnosis and Treatment System for Ophthalmic Diseases Based on Deep Neural Network Model
Table 4
Classification results of the third stage of this system using the 101-layer residual network.
| Classification issues | Acc | Sensitivity | Specificity |
| 1 | 0.7885 ± 0.0597 | 0.8961 ± 0.0391 | 0.7142 ± 0.0745 | 2 | 0.9648 ± 0.0296 | 0.7908 ± 0.1682 | 1 ± 0 | 3 | 0.7808 ± 0.0703 | 0.8716 ± 0.0939 | 0.6197 ± 0.1251 | 4 | 0.8852 ± 0.0150 | 0.9615 ± 0.0224 | 0.4998 ± 0.1172 | 5 | 0.9171 ± 0.0201 | 0.9821 ± 0 | 0.4687 ± 0.1574 | 6 | 0.9893 ± 0.0079 | 0.9883 ± 0.0169 | 0.9906 ± 0.0125 | 7 | 0.9805 ± 0.0142 | — | — | 8 | 0.9293 ± 0.0114 | 0.9483 ± 0.0391 | 0.9095 ± 0.0458 | 9 | 0.9342 ± 0.0443 | 0.9383 ± 0.0334 | 0.9315 ± 0.0726 | 10 | 0.9454 ± 0.0963 | — | — |
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