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