Research Article
COVID-19 Semantic Pneumonia Segmentation and Classification Using Artificial Intelligence
Table 6
Results of experiments on DS2 using (RESNET-50+ DenseNet) and multilabel classifier.
| | | Without data augmentation (%) | Without semantic segmentation (%) | Without pruning (%) | Full features (%) |
| | Sensitivity | 92.37 | 95.20 | 97.80 | 99.5 | | Specificity | 90.63 | 94.80 | 95.43 | 99.1 | | Accuracy | 91.13 | 95.11 | 96.62 | 99.6 | | F1-score | 91.15 | 95.09 | 96.80 | 99.6 |
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