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Table 6 Quantitative results of the study of the algorithms’ sensitivity in segmenting benign and malignant tumours

From: Lesion segmentation in breast ultrasound images using the optimized marked watershed method

 

\( {ACC\, (\%)}\)

\( {TPR\, (\%)}\)

\( {FPR \,(\%)}\)

\( {DSC\, (\%)}\)

\( {JI\, (\%)}\)

\( {AER \,(\%)}\)

\(\text {HE}\)

\(\text {MAE}\)

B

97.46

79.54

1.94

76.24

62.63

50.03

42.15

15.71

M

95.71

87.03

3.65

80.55

68.05

42.87

60.51

19.68

  1. Bold indicates the best results in the current column
  2. B: Benign tumour; M: malignant tumour