Table 8 Quantitative results of the GLAS dataset. (bold indicates the best)
Model | year | mIoU | mDSC | Acc | Spe | Sen | Pre |
---|---|---|---|---|---|---|---|
Unet2 | 2015 | 0.554 | 0.754 | 0.702 | 0.818 | 0.711 | 0.754 |
UnetV247 | 2018 | 0.537 | 0.732 | 0.752 | 0.824 | 0.689 | 0.734 |
Unet++4 | 2019 | 0.575 | 0.751 | 0.735 | 0.816 | 0.714 | 0.773 |
Att-Unet54 | 2018 | 0.604 | 0.764 | 0.786 | 0.813 | 0.753 | 0.813 |
TransUNet54 | 2021 | 0.611 | 0.801 | 0.803 | 0.837 | 0.768 | 0.827 |
TransFuse55 | 2021 | 0.814 | 0.806 | 0.842 | 0.864 | 0.752 | 0.864 |
Swin-Unet56 | 2021 | 0.822 | 0.811 | 0.811 | 0.886 | 0.781 | 0.861 |
DoubleU-Net37 | 2020 | 0.835 | 0.832 | 0.852 | 0.891 | 0.792 | 0.887 |
VMUNet52 | 2024 | 0.845 | 0.865 | 0.866 | 0.885 | 0.813 | 0.893 |
VMUNetV253 | 2024 | 0.846 | 0.905 | 0.879 | 0.893 | 0.808 | 0.905 |
VMUnet-MSADI | 0.853 | 0.919 | 0.901 | 0. 892 | 0.821 | 0.908 |