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Table 2 Performances and variance values of base CNN model in different numbers of training samples

From: Automatic glaucoma detection based on transfer induced attention network

Number of data 100 200 400 800 1600
Accuracy (%) 72.6 75.9 77.2 79.5 80.1
Variance \((10^{-5})\) 578.34 113.23 43.21 26.67 15.32
Sensitivity (%) 80.2 83.9 87.9 89.7 91.2
Variance \((10^{-5})\) 478.43 101.30 53.98 24.67 19.92
Specificity (%) 70.2 72.5 74.3 75.9 76.8
Variance \((10^{-5})\) 438.55 112.23 48.34 25.61 18.45