Table 6 Dice comparison of the proposed model with other methods on BTCV sets.

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

NET.

Spleen

rkid

lkid

gall

eso

Liver

sto

Aorta

IVC

Veins

Pancreas

rad

lad

AVG.

3D U-Net23

0.916

0.943

0.903

0.523

0.748

0.958

0.785

0.905

0.855

0.769

0.790

0.667

0.641

0.8

V-Net46

0.940

0.941

0.942

0.618

0.726

0.965

0.841

0.881

0.845

0.717

0.805

0.640

0.590

0.804

TransBTS18

0.923

0.936

0.934

0.628

0.698

0.954

0.781

0.877

0.815

0.688

0.770

0.653

0.562

0.786

Ours

0.958

0.946

0.945

0.638

0.744

0.968

0.791

0.904

0.855

0.753

0.814

0.681

0.656

0.820

  1. Significant values are in bold.