Table 1.
Comparison of Different Networks With Different Transfer Learning Ways on Closed and Nonclosed ACA Classification
| Trained With Way One | Trained With Way Two | |||||||
|---|---|---|---|---|---|---|---|---|
| Methods | VGG 16 | ResNet 18 | ResNet 50 | Inception Version 3 | VGG 16 | ResNet 18 | ResNet 50 | Inception Version 3* | 
| Sensitivity | 0.892 | 0.915 | 0.963 | 0.877 | 1.000 | 1.000 | 0.997 | 0.999 | 
| Specificity | 0.973 | 0.913 | 0.963 | 0.906 | 0.994 | 0.998 | 1.000 | 1.000 | 
*The proposed method: Inception version 3 network trained with transfer learning way two.