Table 4 Comparative outcome of FOADCNN-LDC approach with recent methods12.
Methods | \(Acc{u_y}\) | \(Sen{s_y}\) | \(Spe{c_y}\) |
|---|---|---|---|
FOADCNN-LDC | 99.62 | 97.14 | 99.78 |
AlexNet | 96.76 | 96.98 | 97.29 |
GA-ANN | 97.05 | 96.44 | 97.07 |
SCA-DCNN | 98.60 | 97.03 | 97.72 |
CNN-SVM | 98.90 | 97.09 | 98.88 |
ResNet-34 | 99.11 | 96.91 | 98.76 |
DenseNet-121 | 99.22 | 96.59 | 98.54 |