Table 3.
Signal detection performance of different deep learning models
| Model | Channel | Accuracy (%) | Sensitivity (%) | F1 (%) | AP50 (%) | No. parameters (million) |
|---|---|---|---|---|---|---|
| YOLO-V7s | Aqua | 94.3 ± 1.6 | 95.3 ± 1.6 | 95.6 ± 1.7 | 95.4 ± 1.3 | 36.9 |
| CenterNet2 | 94.1 ± 1.8 | 95.2 ± 1.6 | 95.6 ± 1.7 | 95.8 ± 1.4 | 37.6 | |
| FISH-Net | 97.5 ± 1.2 | 97.1 ± 1.1 | 97.2 ± 1.0 | 96.4 ± 1.3 | 2.24 | |
| YOLO-V7s | Gold | 95.5 ± 1.5 | 95.7 ± 1.3 | 95.4 ± 1.6 | 96.4 ± 1.2 | 36.9 |
| CenterNet2 | 95.9 ± 1.5 | 95.0 ± 1.7 | 94.9 ± 1.7 | 96.5 ± 1.3 | 37.6 | |
| FISH-Net | 99.1 ± 0.2 | 98.6 ± 0.4 | 98.9 ± 0.3 | 98.0 ± 1.0 | 2.24 | |
| YOLO-V7s | Green | 95.4 ± 1.5 | 95.3 ± 1.6 | 95.1 ± 1.7 | 96.3 ± 1.3 | 36.9 |
| CenterNet2 | 94.5 ± 1.7 | 94.6 ± 1.6 | 94.9 ± 1.5 | 96.1 ± 1.2 | 37.6 | |
| FISH-Net | 99.5 ± 0.2 | 98.5 ± 0.4 | 98.6 ± 0.5 | 97.9 ± 0.5 | 2.24 | |
| YOLO-V7s | Red | 95.4 ± 1.6 | 95.8 ± 1.5 | 96.4 ± 1.2 | 96.6 ± 1.1 | 36.9 |
| CenterNet2 | 92.3 ± 1.8 | 93.2 ± 1.7 | 94.4 ± 1.6 | 96.2 ± 1.2 | 37.6 | |
| FISH-Net | 98.4 ± 0.6 | 98.8 ± 0.5 | 98.9 ± 0.2 | 97.5 ± 1.0 | 2.24 |
Data are presented as mean ± standard deviation. The best results are shown in bold