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Table 1 Performance of different deep learning models with cubic SVM based on tenfold cross-validation

From: Rapid identification of COVID-19 severity in CT scans through classification of deep features

Backbone Accuracy (%) AUC Sensitivity (%) Specificity (%)
Inception-V3 [18] 91.91 0.97 84.96 95.84
ResNet-50 [19] 92.45 0.98 85.85 96.07
ResNet-101 [19] 94.24 0.98 89.02 96.06
DenseNet-201 [20] 95.20 0.99 91.87 96.87
  1. The highest performance value is in italics