Table 4 Computational efficiency analysis of various models during training 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

Runtime

GPU

Runtime

GPU

HBOA-MLP19

2863

20.2

3252

19.5

CNN20

2982

18.6

2893

21.4

VGG1621

3562

22.4

3310

24.3

CLADSI22

3296

21.0

2902

22.3

DQN29

2850

19.6

3004

18.9

4D-AlzNet50

3260

21.7

3396

22.1

XAI51

3620

17.6

3520

19.6

RESNET50 KNN52

3523

24.9

3695

23.5

Proposed

3056

22.1

2930

23.4