TABLE VII. Averaged Figures of Merit Over All 704 Chest CT Images (Test Cases) Considered in the Experiment 1. The Best Results Are Shown in Bold.
| Model | Class | Sensitivity | Specificity | Accuracy | Dice Score |
|---|---|---|---|---|---|
| UNet | Abnormal | 0.932 | 0.983 | 0.982 | 0.608 |
| Normal | 0.902 | 0.997 | 0.981 | 0.943 | |
| ENet | Abnormal | 0.857 | 0.990 | 0.988 | 0.694 |
| Normal | 0.954 | 0.991 | 0.985 | 0.956 | |
| UNet++ | Abnormal | 0.954 | 0.986 | 0.986 | 0.674 |
| Normal | 0.924 | 0.997 | 0.985 | 0.955 | |
| SegNet | Abnormal | 0.936 | 0.981 | 0.980 | 0.587 |
| Normal | 0.897 | 0.995 | 0.978 | 0.935 | |
| Attention UNet | Abnormal | 0.951 | 0.988 | 0.987 | 0.695 |
| Normal | 0.932 | 0.997 | 0.986 | 0.960 | |
| LEDNet | Abnormal | 0.907 | 0.983 | 0.981 | 0.597 |
| Normal | 0.901 | 0.991 | 0.976 | 0.929 | |
| DeepLabV3+ | Abnormal | 0.850 | 0.958 | 0.956 | 0.366 |
| Normal | 0.762 | 0.993 | 0.954 | 0.850 | |
| Anam-Net (Proposed) | Abnormal | 0.900 | 0.993 | 0.991 | 0.755 |
| Normal | 0.959 | 0.997 | 0.990 | 0.972 |