Reference | Method | Results |
O. Iizuka et al. [40] | -CNN -RNN -Inception-v3 [45] | Accuracy: AUC of 96%, for the classification of stomach and colon cancers |
H. Zhang et al. [43] | -k-means -U-Net -SVM | Accuracy 94% in detecting gastric cancer |
A. Dongyao et al. [44] | -CNN -SVM | Accuracy: 99.3% for diagnosis of cervical cancer |
A. Moloud et al. [45] | -CNN -SVM | Accuracy: 100%, breast cancer diagnosis |
Z. Xue et al. [46] | -Régression logistique -Multi-Layer Perceptron -(MLP) | AUC 75% for gastric cancer staging |
K. Priyanka et al. [47] | -CNN -KNN | AUC: 100% to predict complete response in breast cancer |