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

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

Abstract In the world, Alzheimer’s disease (AD) is the utmost public reason for dementia. AD causes memory loss and disturbing mental function impairment in aging people. The loss of memory and disturbing mental function brings a significant load on patients as well as on society. So far, there is n...

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Bibliographic Details
Main Authors: Wardah Ibrar, Muhammad Attique Khan, Ameer Hamza, Saddaf Rubab, Omar Alqahtani, M. Turki-Hadj Alouane, Sokea Teng, Yunyoung Nam
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Alzheimer disease
MRI
Bottleneck
Self-attention
Fusion
Shallow neural networks
Online Access:https://doi.org/10.1038/s41598-025-15007-7
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https://doi.org/10.1038/s41598-025-15007-7

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