Table 3 Performance comparison of global projection methods in ancestry estimation
From: ANINet: a deep neural network for skull ancestry estimation
Convolutional network | Accuracy (%) | Precision (%) | Recall (%) | F1-score (%) | Specificity (%) | Para size (MB) |
|---|---|---|---|---|---|---|
AlexNet | 95.04 | 92.26 | 96.27 | 94.80 | 92.01 | 233 |
Vgg-16 | 60.78 | 64.94 | 57.68 | 61.17 | 62.31 | 528 |
GoogLenet | 96.08 | 97.31 | 94.41 | 95.96 | 93.69 | 51 |
ResNet-50 | 98.03 | 98.06 | 98.38 | 98.50 | 97.98 | 101 |
DenseNet-121 | 98.09 | 98.15 | 98.43 | 98.70 | 98.85 | 46 |
SqueezeNet | 95.91 | 96.89 | 96.47 | 96.80 | 93.00 | 5 |
ANINet (SE-Wide) | 98.21 | 98.49 | 98.51 | 98.77 | 99.09 | 45 |