Table 3.
Results obtained by the compared models considering the test sets for the classification scenario of the entire database. The best values are presented in bold.
Methods | Metrics | ||||
---|---|---|---|---|---|
Accuracy | F1-Score | Specificity | Precision | Recall | |
DenseNet-121 | 0.7000 | 0.6970 | 0.7634 | 0.7582 | 0.6449 |
VGG-16 | 0.6800 | 0.6832 | 0.7204 | 0.7263 | 0.6449 |
[25] | — | 0.58 | — | 0.67 | 0.51 |