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Table 3 Diagnostic Performance of the Deep Learning Model in Training, Internal Test and External Test Sets

From: Deep learning based on ultrasound images to predict platinum resistance in patients with epithelial ovarian cancer

Sets

Accuracy (%)

Sensitivity (%)

Specificity (%)

PPV (%)

NPV (%)

AUC (95% CI)

F1 score

MCC

Training set

81.94 ± 0.01

82.24 ± 0.01

81.47 ± 0.01

82.81 ± 0.01

83.55 ± 0.01

0.87 ± 0.01

0.75 ± 0.01

0.63 ± 0.01

Internal test set

81.43

82.83

74.00

83.33

80.77

0.86(0.83–0.90)

0.70

0.59

External test set

80.19

85.81

76.36

79.49

80.60

0.86(0.84–0.89)

0.75

0.59

  1. Notes: AUC, area under the receiver-operating characteristic curve; PPV, positive predictive value; NPV, negative predictive value; MCC, matthews correlation coefficient