Table 3 Classification results of the proposed fusion technique on the Alzheimer MRI database.

From: A novel interpreted deep network for Alzheimer’s disease prediction based on inverted self attention and vision transformer

Classifier

Time (sec)

Accuracy (%)

TPR (%)

PPV (%)

FNR (%)

AUC

FPR

F1-score (%)

NNN

8.4103

92.7

92.725

92.75

7.275

0.9715

0.024

92.737

MNN

4.7267

94.2

94.200

94.20

5.80

0.9924

0.017

94.200

SWNN

5.9846

96.1

96.075

96.05

3.925

0.9954

0.013

96.062

BNN

15.156

92.3

92.375

94.875

7.625

0.9730

0.025

93.608

TNN

16.758

92.8

92.825

92.85

7.175

0.9729

0.023

92.837

  1. Significant values are in bold.
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