Research Article
WBC Image Segmentation Based on Residual Networks and Attentional Mechanisms
Table 5
Comparison of segmentation results of different models on the LISC dataset.
| Model | Dice (%) | mIOU (%) | PPV (%) | SE (%) | HD (%) |
| FCN-8s | 93.36 | 87.85 | 97.47 | 89.90 | 6.66 | FCN-16s | 91.97 | 85.41 | 94.86 | 89.80 | 8.58 | FCN-32s | 91.04 | 84.01 | 97.75 | 85.87 | 8.84 | U-Net | 94.83 | 90.21 | 94.91 | 94.95 | 5.62 | Ours | 95.31 | 91.09 | 95.87 | 94.99 | 4.97 |
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