Research Article
Leukocyte Segmentation Method Based on Adaptive Retinex Correction and U-Net
Table 2
Comparison of parameters of different methods under different datasets.
| Datasets | Method | Dice | MIoU (%) | MPA (%) | Accuracy (%) |
| Cellavision datasets | DeepLabV3+ | 0.837 | 75.12 | 86.81 | 90.90 | PSPNet | 0.828 | 74.69 | 86.06 | 89.49 | U-net | 0.898 | 87.52 | 93.02 | 94.98 |
| BCCD datasets | DeepLabV3+ | 0.804 | 76.48 | 85.19 | 88.33 | PSPNet | 0.772 | 73.89 | 83.84 | 86.15 | U-net | 0.901 | 88.75 | 92.55 | 94.27 |
|
|