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Table 2 The fivefold cross validation results of the proposed network

From: Automatic identification of suspicious bone metastatic lesions in bone scintigraphy using convolutional neural network

 

Fold 1

Fold 2

Fold 3

Fold 4

Fold 5

Number of patients (benign/malignant)

669 (376/293)

669 (376/293)

671 (376/295)

669 (376/293)

674 (378/296)

Number of lesions (benign/malignant)

2986 (1505/1481)

2952 (1389/1563)

3084 (1468/1616)

2897 (1475/1422)

3053 (1465/1588)

Sensitivity

83.19

83.11

79.89

76.79

83.5

Specificity

78.07

82.58

82.7

82.78

79.59

Accuracy

80.61

82.86

81.23

79.84

81.62

PPV

78.87

84.3

83.56

81.13

81.6

NPV

82.51

81.29

78.88

78.72

81.65