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Table 1 The mean of the three evaluations of the public dataset of LPBA40 with different brain extraction methods

From: SEA-NET: medical image segmentation network based on spiral squeeze-and-excitation and attention modules

Methods

Dice(\(\%\))

Sensitivity(\(\%\))

Specificity(\(\%\))

SEA-Net

98.15

98.40

99.63

U-Net

97.51

99.43

99.17

Attention U-Net

97.47

98.24

99.38

U-Net++

96.55

99.82

98.73

3D U-Net

96.16

98.11

98.93

BET

92.01

98.97

96.82

ROBEX

96.74

96.22

99.49

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BMC Medical Imaging

ISSN: 1471-2342

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