Research Article
COVID-19 Semantic Pneumonia Segmentation and Classification Using Artificial Intelligence
Table 5
Results of experiments on DS1 using (RESNET-50+ DenseNet) and binary classifier.
| | Without data augmentation (%) | Without semantic segmentation (%) | Without pruning (%) | Full features (%) |
| Sensitivity | 90.57 | 93.34 | 96.90 | 99.6 | Specificity | 88.43 | 91.23 | 94.33 | 98.9 | Accuracy | 89.03 | 92.59 | 95.88 | 99.6 | F1-score | 89.20 | 92.70 | 95.90 | 99.6 |
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