From: Detection of developmental dysplasia of the hip in X-ray images using deep transfer learning
Deep learning model | F1 score | Precision | Recall | Specificity |
---|---|---|---|---|
SqueezeNet | 92.3% | 86.2% | 100.0% | 90.9% |
GoogLeNet | 86.5% | 79.6% | 96.7% | 84.8% |
Inceptionv3 | 90.0% | 82.1% | 100.0% | 88.3% |
DenseNet-201 | 86.2% | 76.6% | 99.2% | 83.5% |
MobileNetv2 | 94.6% | 90.1% | 100.0% | 93.9% |
ShuffleNet | 82.9% | 71.6% | 98.8% | 79.6% |
Resnet101 | 92.5% | 86.3% | 100.0% | 91.3% |
Resnet50 | 94.4% | 89.8% | 100.0% | 93.5% |
Resnet18 | 89.1% | 81.4% | 99.2% | 87.4% |
Xception | 83.9% | 76.4% | 93.3% | 84.8% |
Inception-ResNet-v2 | 86.1% | 76.4% | 99.2% | 83.5% |
ShuffleNet | 87.7% | 78.9% | 99.2% | 85.7% |
DarkNet-53 | 95.0% | 90.6% | 100.0% | 94.3% |
EfficientNet-b0 | 87.7% | 78.3% | 100.0% | 85.2% |