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Table 12 High accuracy of models obtained by Resnet-101#3, Resnet-101#7, DenseNet-201#3, DenseNet-201#7, Inception-v3#7, Inception-ResNet-v2#3, and Inception-ResNet-v2#7

From: Classifying chest CT images as COVID-19 positive/negative using a convolutional neural network ensemble model and uniform experimental design method

Model

Dataset

Average

SD

Resnet-101#3

Training set

0.9810

0.00357

Validation set

0.8788

0

Resnet-101#7

Training set

0.9863

0.00409

Validation set

0.8828

0.01835

DenseNet-201#3

Training set

0.9889

0.00507

Validation set

0.8727

0.01532

DenseNet-201#7

Training set

0.9928

0.00469

Validation set

0.8849

0.0291

Inception-v3#7

Training set

0.9889

0.00355

Validation set

0.8667

0.01317

Inception-ResNet-v2#3

Training set

0.9820

0.00475

Validation set

0.8808

0.01807

Inception-ResNet-v2#7

Training set

0.9866

0.00647

Validation set

0.9091

0.0101