Table 5 Computational efficiency analysis of various models during testing on OASIS and ADNI datasets

From: Automated Alzheimer’s disease detection using active learning model with reinforcement learning and scope loss function

Dataset

OASIS

ADNI

Model

Inference Runtime usage (ms)

Inference GPU usage (GB)

Inference Runtime usage (ms)

Inference GPU usage (GB)

HBOA-MLP19

10.3

11.3

11.9

8.6

CNN20

10.8

8.6

11.2

6.1

VGG1621

22.5

12.8

23.7

9.8

CLADSI22

14.8

11.2

15.2

8.8

DQN29

10.2

9.3

11.7

7.4

4D-AlzNet50

15.6

11.7

16.3

8.8

XAI51

23.1

8.6

24.8

6.2

RESNET50 KNN52

22.9

13.6

24.2

10.2

Proposed

12.5

12.5

13.5

9.6

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