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Brain Informatics

Table 6 GM and MCC performance metrics for the methods

From: 3D convolutional neural networks-based multiclass classification of Alzheimer’s and Parkinson’s diseases using PET and SPECT neuroimaging modalities

Serial #

GM

MCC

 

AD

NC

PD

AD

NC

PD

1

1

0.98

0.974

1

0.953

0.954

2

1

0.9708

0.9742

1

0.9445

0.9462

3

1

0.9708

0.9742

1

0.9445

0.9462

4

1

0.9738

0.964

1

0.9378

0.9381

5

1

0.9685

0.9615

1

0.9296

0.9304

6

1

0.963

0.966

1

0.93

0.93

7

1

0.9657

0.964

1

0.929

0.9304

8

1

0.965

0.964

1

0.929

0.93

9

1

0.9657

0.964

1

0.929

0.9304

10

1

0.9606

0.9537

1

0.914

0.915

11

1

0.96

0.946

1

0.908

0.907

12

1

0.9552

0.9511

1

0.9057

0.9071

13

1

0.955

0.951

1

0.905

0.907

14

1

0.9498

0.9485

1

0.8975

0.8995

15

1

0.9473

0.9433

1

0.8899

0.8916

16

1

0.936

0.9457

1

0.8806

0.8854

17

0.8898

0.8945

1

0.7814

0.79

1

18

0.8842

0.892

1

0.773

0.7832

1

19

0.8673

0.8845

1

0.7477

0.7628

1

20

0.8528

0.8333

0.9778

0.7198

0.678

0.9361

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