Table 11 Pathological variations analysis using the CNN-DenseNet model.
Model | Age groups | Pathological parameters | Number of instances | Accuracy % | Error rate |
|---|---|---|---|---|---|
CNN-DenseNet | 35–45 | 10 | 1000 | 83 | 0.000889 |
2000 | 84 | 0.000721 | |||
2500 | 85 | 0.000382 | |||
20 | 1000 | 86 | 0.000963 | ||
2000 | 88 | 0.000565 | |||
2500 | 87 | 0.000421 | |||
30 | 1000 | 92 | 0.000796 | ||
2000 | 95 | 0.000245 | |||
2500 | 97 | 0.000372 | |||
45–55 | 10 | 1000 | 80 | 0.000352 | |
2000 | 81 | 0.000463 | |||
2500 | 84 | 0.000278 | |||
20 | 1000 | 85 | 0.000332 | ||
2000 | 86 | 0.000339 | |||
2500 | 86 | 0.000587 | |||
30 | 1000 | 92 | 0.000785 | ||
2000 | 94 | 0.000214 | |||
2500 | 96 | 0.000238 | |||
55–65 | 10 | 1000 | 83 | 0.000845 | |
2000 | 84 | 0.000718 | |||
2500 | 83 | 0.000509 | |||
20 | 1000 | 86 | 0.000703 | ||
2000 | 87 | 0.000624 | |||
2500 | 88 | 0.000536 | |||
30 | 1000 | 85 | 0.000542 | ||
2000 | 92 | 0.000325 | |||
2500 | 95 | 0.000239 |
