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. 2021 Feb 11;32(4):1408–1417. doi: 10.1109/TNNLS.2021.3054306

Fig. 7.

Fig. 7.

ROC-AUC plots are shown for CT images using four architectures (VGG16, InceptionResNetV2, ResNet50, and DenseNet121) and eight classifiers. As can be seen, linear SVM and NN (MLP) are the bests and their AUC values are greater than others. Also, it is noted that the performance of classifiers closely depends on the quality of features extracted by the convolutional layers of four considered architectures. (a) VGG16. (b) InceptionResNetV2. (c) ResNet50. (d) DenseNet121.