Table 7 Dice comparison of the proposed model with other methods on FETA sets.

From: DTASUnet: a local and global dual transformer with the attention supervision U-network for brain tumor segmentation

NET.

ECF

GM

WM

Vent.

Cereb.

DGM

BS

AVG.

3D U-Net23

0.806

0.748

0.910

0.874

0.860

0.795

0.836

0.832

V-Net46

0.757

0.697

0.889

0.823

0.831

0.762

0.784

0.792

TransBTS18

0.794

0.758

0.911

0.852

0.863

0.785

0.843

0.829

Ours

0.820

0.776

0.917

0.892

0.882

0.803

0.848

0.848

  1. Significant values are in bold.
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