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Visual Computing for Industry, Biomedicine, and Art

Table 2 The classification results of ResNet18, VGG16 and ResNet50 at slice level

From: Discrimination between leucine-rich glioma-inactivated 1 antibody encephalitis and gamma-aminobutyric acid B receptor antibody encephalitis based on ResNet18

 

Delong test

AUC

Accuracy

Sensitivity

Specificity

ResNet18

Reference

0.86

80.28% (3073/3828)

73.28% (1445/1972)

87.72% (1628/1856)

VGG16

 < 0.0001

0.67

62.77% (2403/3828)

77.43% (1527/1972)

47.20% (876/1856)

ResNet50

 < 0.0001

0.74

67.40% (2580/3828)

52.23% (1030/1972)

83.51% (1550/1856)

  1. For the slice level, the sensitivity and specificity refer to the ratio of successfully identifying the image slices with GABAB receptor antibody encephalitis and that successfully identifying the image slices with LGI1 antibody encephalitis, respectively
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