Table 7 Dice scores of different methods on private dataset BT-Seg (%)
From: GH-UNet: group-wise hybrid convolution-VIT for robust medical image segmentation
Methods | Edema | Tumor | Total |
|---|---|---|---|
H2Former | 82.92 | 84.64 | 83.78 |
nnUNet | 62.47 | 66.20 | 64.34 |
GH-UNet | 83.93 | 85.13 | 84.53 |
