Table 11 Comparative results for the proposed method and other methods for 23 classes.

From: Deep residual 2D convolutional neural network for cardiovascular disease classification

Methods

AUC

Accuracy

He et al. (ResNet-101)33

91.92

96.56

Mousavi et al.34

89.98

96.28

Hannun et al.35

90.86

96.41

Attia et al.36

89.02

96.64

Sharma et al.37

83.19

95.89

Anand et al.24

91.93

96.87

Our method

92.18

96.88

Back to article page