Table 5 Dice and sensitivity comparison of the proposed model with other methods on BraTS 2020 validation sets.

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

Method

Dice

Sensitivity

ET

WT

TC

Mean

ET

WT

TC

Mean

Ali et al.43

0.748

0.871

0.748

0.789

0.751

0.872

0.718

0.780

Qamar et al.44

0.742

0.907

0.843

0.831

0.735

0.905

0.806

0.815

Wang et al.18

0.787

0.901

0.817

0.835

–

–

–

–

Liew et al.13

0.774

0.893

0.816

0.828

0.783

0.901

0.804

0.829

Akbar et al.29

0.729

0.886

0.802

0.806

0.737

0.928

0.818

0.827

Jia et al.45

0.819

0886

0.743

0.816

–

–

–

–

Raza et al.27

0.800

0.866

0.8357

0.834

–

–

–

–

nnUNet24

0.795

0.912

0.852

0.853

–

–

–

–

Ours

0.790

0.906

0.844

0.847

0.788

0.912

0.832

0.844

  1. Bold results denote the best two scores.
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