Table 9 Comparative results for the proposed method and other methods for 2 classes.

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

Methods

AUC

Accuracy

He et al. (ResNet-101)33

92.18

82.21

Mousavi et al.34

90.87

82.39

Hannun et al.35

93.58

85.03

Attia et al.36

93.29

84.03

Sharma et al.37

89.65

81.94

Anand et al.24

94.47

87.53

Our method

95.00

87.85

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