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. 2021 Feb 2;131:104252. doi: 10.1016/j.compbiomed.2021.104252

Fig. 9.

Fig. 9

Confusion matrix of (A) The proposed model (improved AlexNet + ReliefF + SVM) (99.43%); (B) InceptionV3 (98.47%); (C) SqueezeNet (97.51%); (D) ResNet-50 (97.90%); (E) ResNet-101 (98.27%); and (F) VGG19 (97.32%). The results displayed in the confusion matrix correspond to the results with the highest classification accuracy of each model.