Table 1 Shows the experimental results on COVID-19 DataSet. The best values of each indicator are in bold.
From: Medical image segmentation model based on triple gate MultiLayer perceptron
Model | mIoU (%) | SEN(%) | SPC(%) | DSC(%) | HD(%) |
|---|---|---|---|---|---|
U-Net4 | 77.56 | 72.24 | 97.1 | 68.37 | 94.25 |
FCN-8s32 | 71.85 | 66.47 | 93.56 | 58.11 | 104.68 |
FRRN33 | 79.2 | 78.47 | 97.5 | 71.27 | 86.56 |
PSPNet34 | 75.61 | 70.82 | 96.47 | 64.55 | 99.76 |
Inf-Net35 | 81.62 | 76.5 | 98.32 | 74.44 | 86.81 |
ENet36 | 79.49 | 81.26 | 97.53 | 71.57 | 96.08 |
ESPNet37 | 77.45 | 84.18 | 96.48 | 69.3 | 97.04 |
CGNet38 | 79.34 | 81.55 | 96.34 | 71.42 | 90.37 |
ESPNetv239 | 78.66 | 77.84 | 96.53 | 70.46 | 87.77 |
EDANet40 | 78.74 | 82.86 | 96.98 | 70.67 | 88.14 |
LEDNet28 | 77.41 | 81.59 | 96.93 | 68.74 | 92.49 |
MiniSeg27 | 82.15 | 84.95 | 97.71 | 75.91 | 74.42 |
TGMLP U-Net(ours) | 86.45 | 91.2 | 98.31 | 89.06 | 50.94 |
