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Table 4 Comparison of IDH mutation/wide type classification from the proposed scheme and some existing methods

From: Deep semi-supervised learning for brain tumor classification

Method

# Patients with IDH

Test

 

mutation/wild-type

Accuracy (%)

Liang [19]

55/112

84.60

Proposed

55/112

86.53

Yu [13]

76/34

80.00

Zhang [14]

70/33

80.00

Li [17]

89/30

86.55

Chang [18]

233/263

85.70

  1. Noting that [13, 14, 17, 18] were applied to different datasets, hence they were only used here as the indication/reference to the state-of-the-art in IDH mutation/wild-type classification. The performance of the proposed method is in boldface