Research Article
Classification of COVID-19 Chest CT Images Based on Ensemble Deep Learning
Table 2
Functions and accuracy of all classifiers.
| | Classifier name | Classifier type | Discriminate type | Training set | Accuracy (%) |
| | M3 | Multiclassifier | [COVID-19, CP, normal] | U | 88.12 | | M31 | Multiclassifier | [COVID-19, CP, normal] | U1 | 85.57 | | M21 | Binary classifier | [COVID-19, (CP, normal)] | U2 | 95.69 | | M22 | Binary classifier | [CP, (COVID-19, normal)] | U3 | 94.07 | | M23 | Binary classifier | [Normal, (COVID-19,CP)] | U4 | 95.91 | | M24 | Binary classifier | [COVID-19, CP] | U5 | 96.49 | | M25 | Binary classifier | [CP, normal] | U6 | 95.73 |
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