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. 2023 Jan 20;10(2):140. doi: 10.3390/bioengineering10020140

Table 5.

Summary of performance metrics of Fet-Net and prominent CNN architectures with a decreased SNR testing dataset.

Architecture Accuracy (%) Loss
Fet-Net 74.58 0.7491
VGG16 67.50 1.4996
VGG19 49.58 2.8058
ResNet-50 69.58 0.8897
ResNet-50V2 55.83 2.0550
ResNet-101 60.00 0.9695
ResNet-101V2 61.25 2.6991
ResNet-152 70.83 0.7185
ResNet-152V2 57.50 2.3606
Inception-Resnet-V2 66.67 1.2373
InceptionV3 56.57 2.6833
Xception 62.92 1.9649