Table 6 Grade-1 severity detection using performance metrics of various DL methods.
Algorithms | Performance metrics | |||||
|---|---|---|---|---|---|---|
Accuracy | Precision | Recall | Specificity | F1-score | MCC | |
CNN | 82.3 | 81.2 | 80.3 | 79.5 | 81.2 | 0.81 |
VGG-19 | 77.2 | 76.2 | 74.1 | 70.4 | 70.5 | 0.72 |
DenseNETS | 92.4 | 92.4 | 90.3 | 89.5 | 90.4 | 0.88 |
RESNETS-34 | 92.2 | 92.1 | 90.4 | 90.2 | 90.7 | 0.90 |
Ensemble methods | 96.1 | 95.4 | 94.2 | 94 | 94.3 | 0.94 |
Resnets + CBAM | 93.5 | 92.9 | 92.4 | 93.0 | 92.9 | 0.92 |
Proposed model | 99.67 | 99.0 | 98.9 | 98.7 | 98.9 | 0.98 |