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Table 2 Classification performance of the various models on both the validation and independent test set

From: A transformer-based multi-task deep learning model for simultaneous infiltrated brain area identification and segmentation of gliomas

  

Validation set

   

Independent test set

   

Data

Model

AUC (95% CI)

ACC

SEN

SPE

AUC (95% CI)

ACC

SEN

SPE

 

VGG16

76.81(68.82–84.59)

72.41

71.43

72.82

78.90(73.07–84.28)

74.44

76.71

73.6

 

Resnet50

89.20(82.50–95.03)

85.52

83.33

86.41

87.10(81.73–92.04)

83.33

76.71

85.79

 

Efficientb0

88.58(82.34–93.55)

81.38

80.95

81.55

85.23(78.75–90.74)

79.63

76.71

80.71

All

COM-Net

88.65(81.84–93.77)

83.45

85.71

82.52

90.22(85.12–94.61)

85.93

82.19

87.31

 

MTTU-Net

90.15(84.70–94.82)

85.52

78.57

88.35

93.51(90.22–96.37)

87.41

80.82

89.85

 

Ours

91.42(86.19–95.63)

82.07

83.33

81.55

94.95(91.78–97.58)

87.41

87.67

87.31

 

 + clinical characteristics

94.15(90.22–97.35)

88.28

88.10

88.35

95.07(92.28–97.48)

87.78

90.41

86.80

 

VGG16

84.00(73.92–92.42)

80.00

84.00

78.33

78.10(68.76–87.02)

71.43

68.75

72.60

 

Resnet50

91.33(84.54–97.06)

85.88

84.00

86.67

80.01(69.81–89.83)

75.24

68.75

78.08

 

Efficientb0

91.80(84.90–97.13)

85.88

88.00

85.00

78.00(67.07–88.49)

73.33

78.12

71.23

Grade

COM-Net

91.73(85.28–97.20)

85.88

92.00

83.33

86.22(76.29–94.43)

80.95

75.00

83.56

II

MTTU-Net

91.13(84.36–96.74)

85.88

80.00

88.33

92.81(86.47–97.42)

84.76

78.12

87.67

 

Ours

93.50(87.64–98.05)

85.88

80.00

88.33

95.25(91.09–98.23)

87.62

84.38

89.04

 

 + clinical characteristics

98.07(95.39–99.82)

94.12

96.00

93.33

94.91(90.10–98.77)

91.43

90.62

91.78

 

VGG16

63.89(40.26–85.58)

64.00

55.56

68.75

85.07(73.64–93.75)

80.00

93.75

75.93

 

Resnet50

84.72(61.90–100)

88.00

88.89

87.50

94.21(88.00–98.72)

88.57

93.75

87.04

 

Efficientb0

87.50(71.43–99.12)

84.00

77.78

87.50

94.56(87.21–99.23)

91.43

87.5

92.59

Grade

COM-Net

76.39(53.00–94.81)

76.00

77.78

75.00

97.34(93.06–100.00)

91.43

87.5

92.59

III

MTTU-Net

88.19(70.13–100)

84.00

77.78

87.50

96.18(90.06–100.00)

94.29

87.5

96.3

 

Ours

90.28(73.81–100)

84.00

77.78

87.50

98.26(95.22–100.00)

97.14

93.75

98.15

 

 + clinical characteristics

90.28(75.00–100)

84.00

66.67

93.75

97.22(92.45–100.00)

94.29

87.5

96.3

 

VGG16

69.44(50.00–87.93)

60.00

50.00

62.96

76.43(66.57–85.84)

73.68

76.00

72.86

 

Resnet50

89.35(76.67–98.67)

85.71

87.50

85.19

92.00(84.51–97.81)

86.32

84.00

87.14

 

Efficientb0

82.41(63.33–97.06)

68.57

75.00

66.67

86.69(76.01–95.70)

81.05

80.00

81.43

Grade

COM-Net

89.35(76.53–98.67)

80.00

87.50

77.78

90.23(81.32–97.73)

89.47

88.00

90.00

IV

MTTU-Net

90.74(76.61–100)

82.86

87.50

81.48

92.86(86.76–97.63)

86.32

80.00

88.57

 

Ours

91.44(80.10–98.98)

82.86

87.50

81.48

93.83(86.57–99.12)

87.37

92.00

85.71

 

 + clinical characteristics

87.96(75.29–98.15)

88.57

87.50

88.89

93.94(88.17–98.19)

86.32

92.00

84.29