Table 7 Testing results on Dataset 2
From: Tongue image quality assessment based on a deep convolutional neural network
Model | Precision | Recall | F1-score | Accuracy |
|---|---|---|---|---|
VGG-16 | 97.77% (0.47%) | 97.71% (0.51%) | 97.74% (0.49%) | 97.71% (0.51%) |
ResNet-152 | 99.05% (0.20%) | 99.04% (0.20%) | 99.05% (0.20%) | 99.04% (0.20%) |
DenseNet-169 | 98.89% (0.17%) | 98.89% (0.18%) | 98.89% (0.17%) | 98.89% (0.18%) |