Table 10 z-scores of architectures for manually selected slices in Alzheimer’s prediction.

From: Improving early detection of Alzheimer’s disease through MRI slice selection and deep learning techniques

1 vs. 1

CN vs. AD

 

EfficientNetB2

InceptionV3

RegNetx006

Basic ViT

EfficientNetB2 + FPN

ViT + EfficientNetB2 + FPN

EfficientNetB2

 

0.891

↑1.62E-36

0.1372

↑0.004

↑1.92E-16

InceptionV3

  

↑1.48E-36

0.176

↑0.007

↑1.72E-15

RegNetx006

   

←2,64E-32

←9,61E-25

←7.93E-08

Basic ViT

    

0.183

↑3.87E-12

EfficientNetB2 + FPN

     

↑3.05E-08

ViT + EfficientNetB2 + FPN

 

CN vs. MCI

EfficientNetB2

 

←1.04E-14

↑0.0003

←2.27E-15

↑0.0002

0.948

InceptionV3

  

↑1.03E-25

0.579

↑1.22E-26

↑2.17E-13

RegNetx006

   

←3.25E-28

1.000

←0.0003

Basic ViT

    

↑2.22E-29

↑3.25E-15

EfficientNetB2 + FPN

     

←0.0003

ViT + EfficientNetB2 + FPN

 

CN vs. LMCI

EfficientNetB2

 

←8.11E-07

↑7.93E-08

←1.30E-17

↑2.88E-13

↑3.80E-08

InceptionV3

  

↑2.77E-23

←7.29E-05

↑5.59E-30

↑2.98E-22

RegNetx006

   

←2.17E-38

↑0.022

1.000

Basic ViT

    

↑4.26E-47

↑1.64E-40

EfficientNetB2 + FPN

     

←0.031

ViT + EfficientNetB2 + FPN

 

CN vs. EMCI

EfficientNetB2

 

←0.0042

↑0.0106

←1.29E-12

↑0.016

0.0784

InceptionV3

  

↑1.88E-08

←8.54E-06

↑6.64E-08

0.2613

RegNetx006

   

←9.05E-21

0.8474

←1.85E-05

Basic ViT

    

↑7.42E-21

↑4.50E-08

EfficientNetB2 + FPN

     

←4.11E-05

ViT + EfficientNetB2 + FPN

 

AD vs. MCI

EfficientNetB2

 

←0.0001

↑0.014

←3.02E-14

←0.0153

0.1408

InceptionV3

  

0.1573

←3.40E-25

0.1573

↑2.48E-07

RegNetx006

   

←3.58E-21

1.0000

←0.0002

Basic ViT

    

↑9.66E-21

↑4.20E-10

EfficientNetB2 + FPN

     

←1.72E-04

ViT + EfficientNetB2 + FPN

 

AD vs. LMCI

EfficientNetB2

 

←0.0018

1.000

←0.0184

0.2568

←0.0018

InceptionV3

  

↑0.0027

0.3692

↑1.24E-04

1.000

RegNetx006

   

←0.0253

0.2568

←0.0027

Basic ViT

    

↑0.0016

0.3841

EfficientNetB2 + FPN

     

←1.24E-04

ViT + EfficientNetB2 + FPN

      
 

AD vs. EMCI

EfficientNetB2

 

←0.0002

1.000

←5.93E-06

1.000

←6.44E-04

InceptionV3

  

↑2.57E-04

0.2850

↑1.62E-04

0.7773

RegNetx006

   

←5.93E-06

1.000

←6.44E-04

Basic ViT

    

↑5.93E-06

0.1814

EfficientNetB2 + FPN

     

←0.0006

ViT + EfficientNetB2 + FPN

 

MCI vs. LMCI

EfficientNetB2

 

←3.06E-04

↑2.59E-04

←2.68E-08

↑0.024

0.9136

InceptionV3

  

↑4.18E-12

←0.0287

←7.76E-09

↑4.07E-04

RegNetx006

   

←1.70E-17

0.1404

←3.36E-04

Basic ViT

    

↑4.74E-15

↑2.09E-08

EfficientNetB2 + FPN

     

←0.0201

ViT + EfficientNetB2 + FPN

 

MCI vs. EMCI

EfficientNetB2

 

←2.30E-12

↑0.0330

←0.0330

↑1.23E-06

0.6662

InceptionV3

  

↑6.94E-17

↑1.34E-17

↑2.01E-26

↑4.71E-12

RegNetx006

   

1.000

↑0.0047

←0.0133

Basic ViT

    

↑0.0039

↑0.0123

EfficientNetB2 + FPN

     

←2.15E-07

ViT + EfficientNetB2 + FPN

      
 

LMCI vs. EMCI

EfficientNetB2

 

←0.0011

0.7389

←0.0060

0.7630

0.3173

InceptionV3

  

↑0.0011

0.7389

↑0.0011

↑0.0339

RegNetx006

   

←0.0018

1.000

0.1655

Basic ViT

    

↑0.0027

0.0588

EfficientNetB2 + FPN

     

0.1967

ViT + EfficientNetB2 + FPN