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Table 4 Obtained results for HRF, Drishti-GS1, RIM, sjchoi86-HRF and the new public database ACRIMA, using Xception architecture represented in AUC, AUC’s confidence interval, Accuracy, sensitivity and specificity

From: CNNs for automatic glaucoma assessment using fundus images: an extensive validation

Database AUC AUC’s 95% confidence interval Accuracy Sensitivity Specificity # images
HRF 0.8354 50.00–100.00% 0.8000 0.8333 0.7778 45
Drishti-GS1 0.8041 50.49–92.55% 0.7525 0.7419 0.7143 101
RIM-ONE 0.8575 77.53–91.12% 0.7121 0.7931 0.7990 455
sjchoi86-HRF 0.7739 66.44–86.85% 0.7082 0.7033 0.7030 401
ACRIMA 0.7678 68.41–81.81% 0.7021 0.6893 0.7020 705