Method | Magnification Factors | |||||||
40× | 100× | 200× | 400× | |||||
AUC | Accuracy | AUC | Accuracy | AUC | Accuracy | AUC | Accuracy | |
SI + HA | 0.9874 ± 0.0054 | 0.9567 ± 0.0119 | 0.9838 ± 0.0044 | 0.9417 ± 0.0134 | 0.9861 ± 0.0042 | 0.9453 ± 0.01 | 0.9767 ± 0.0037 | 0.9412 ± 0.0054 |
CNN | 0.8127 ± 0.0018 | 0.8076 ± 0.0131 | 0.8359 ± 0.002 | 0.8570 ± 0.0054 | 0.8566 ± 0.0179 | 0.8859 ± 0.0112 | 0.8165 ± 0.0095 | 0.8247 ± 0.0153 |
VGG 16 | 0.8416 ± 0.002 | 0.8307 ± 0.0102 | 0.8030 ± 0.0148 | 0.8186 ± 0.0046 | 0.8221 ± 0.0022 | 0.8443 ± 0.0235 | 0.8056 ± 0.0134 | 0.8244 ± 0.0152 |
AlexNet | 0.8033 ± 0.0054 | 0.8347 ± 0.0103 | 0.8062 ± 0.0027 | 0.8166 ± 0.0035 | 0.8674 ± 0.0088 | 0.8676 ± 0.017 | 0.8566 ± 0.0382 | 0.8554 ± 0.0021 |
Inception V3 | 0.9023 ± 0.0053 | 0.8742 ± 0.0123 | 0.8925 ± 0.0021 | 0.8633 ± 0.0133 | 0.8924 ± 0.0054 | 0.8717 ± 0.0067 | 0.8811 ± 0.0034 | 0.8653 ± 0.0079 |
Texture CNN | 0.9123. ± 0.0077 | 0.8966 ± 0.0054 | 0.8837 ± 0.0044 | 0.8644 ± 0.021 | 0.8976 ± 0.0135 | 0.8744 ± 0.0089 | 0.9023 ± 0.0039 | 0.8831 ± 0.0107 |
CSDCNN | 0.9795 ± 0.0036 | 0.9480 ± 0.0087 | 0.9766 ± 0.057 | 0.9324 ± 0.0105 | 0.9757 ± 0.0105 | 0.9355 ± 0.013 | 0.9741 ± 0.0044 | 0.9401 ± 0.0098 |
Optimised CNN | 0.9322 ± 0.0046 | 0.9034 ± 0.0023 | 0.8977 ± 0.0043 | 0.8635 ± 0.0104 | 0.8614 ± 0.0103 | 0.8317 ± 0.0234 | 0.8388 ± 0.0045 | 0.8144 ± 0.0317 |
CNN-LSTM | 0.9834 ± 0.0033 | 0.9553 ± 0.0027 | 0.9855 ± 0.0057 | 0.9465 ± 0.0112 | 0.9877 ± 0.0035 | 0.9501 ± 0.0173 | 0.9649 ± 0.0023 | 0.9318 ± 0.0044 |
C-Net | 0.9933 ± 0.0015 | 0.9677 ± 0.0136 | 0.9967 ± 0.0017 | 0.9601 ± 0.0023 | 0.9769 ± 0.0024 | 0.9293 ± 0.0011 | 0.9755 ± 0.0026 | 0.9317 ± 0.0056 |