Table 6 A comparison of a proposed framework with existing SOTA techniques.

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

Reference

Year

Methodology

Dataset

Accuracy (%)

Awarayi et al.40

2024

bilateral filtering techniques + customized CNN

Alzheimer MRI

93.45

Alatrany et al.41

2024

Reduction method + SVM

Alzheimer MRI

90.7

Murugan et al.23

2021

Customized DEMnet

Alzheimer MRI

95.23

Mggdadi et al.37

2021

2D CNN + vgg16

Alzheimer MRI

70.3

Ghazal et al.38

2022

Pre-trained DL models using TL

Alzheimer MRI

91.70

Shukla et al.39

2023

Multimodal CNN

Alzheimer MRI

95.00

Proposed method

Alzheimer MRI

96.1