Research Article

[Retracted] Deep Scale-Variant Network for Femur Trochanteric Fracture Classification with HP Loss

Table 5

The comparison results with other methods.

MethodAccuracy (%)Sensitivity (%)Specificity (%)AUC

Inception V4 [26]87.886.182.30.86
ResNet [27]87.586.781.90.87
DenseNet [28]87.286.383.40.91
SKNet [29]87.186.883.60.92
Res2Net [30]88.287.785.70.95
DDA [31]88.987.685.90.97
DSV90.288.986.50.98