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Table 3 The performance metrics of the Fus2Net and other four methods

From: Fus2Net: a novel Convolutional Neural Network for classification of benign and malignant breast tumor in ultrasound images

 

Accuracy

Sensitivity

Specificity

Precision

AUC

GLN M0\(+\)M80 [16]

85%

88.89%

81.82%

80%

0.90

Fine-tuning ML [12]

88%

85.19%

91.30%

92%

0.95

Multiview CNN [13]

78%

83.33%

74.14%

70%

0.86

GoogleNet [11]

82%

80.77%

83.33%

84%

0.89

Fus2Net

92%

95.65%

88.89%

88%

0.97

  1. The bold value in the table indicates this method (in row) outforms others regarding this specific metric (in column)