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. 2021 Mar 10;7:e423. doi: 10.7717/peerj-cs.423

Table 8. The Classification Accuracy (%) for the 500 DCT features extracted from different combination of CNNs used in Gastro-CADx using Dataset II.

Features Linear Quadratic Cubic
ResNet+DarkNet 98.1 98.4 98.5
AlexNet+DarkNet 97.7 97.9 98
DenseNet+DarkNet 48.7 49 49.2
AlexNet+ResNet 98.2 98.5 98.6
AlexNet+DenseNet 98.2 98.6 98.6
ResNet +DenseNet 98.8 98.9 98.9
AlexNet+ResNet+DarkNet 98.8 99 99.2
AlexNet+DenseNet+DarkNet 98.6 98.7 98.7
ResNet +DenseNet+DarkNet 98.6 98.9 98.9
AlexNet+ResNet +DenseNet 99.6 99.6 99.6
AlexNet+ResNet +DenseNet+DarkNet 98.7 99.5 99.6