ORIGINAL RESEARCH article
Front. Signal Process.
Sec. Biomedical Signal Processing
Alzheimer's Detection using Discrete Wavelet Transform Based Image Fusion and Vision Information Transformer
Provisionally accepted
- 1Shivaji University, Kolhapur, India
- 2D Y Patil College of Engineering and Technology, Kolhapur, India
- 3VIT-AP University, Amaravati, India
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Alzheimer's disease (AD) is the most prevalent form of dementia and a major cause of mortality among older adults. Magnetic resonance imaging (MRI) and positron emission tomography (PET) are commonly used for AD diagnosis. Despite extensive research, the accuracy of automated detection methods remains limited. This study proposes a highly accurate AD classification model by integrating complementary information from MRI and PET scans. The images are fused using a discrete wavelet transform (DWT), augmented, and subsequently classified using a Vision Transformer (ViT). Comprehensive evaluation across nine performance metrics shows that the proposed ViT-based framework achieves 97.68\% accuracy, surpassing benchmark transfer learning models and state-of-the-art methods. Ablation studies and comparative analysis further confirm the robustness and reliability of the proposed approach for AD detection.
Keywords: AD, Alzheimer's disease, Discrete wavelet transform, DWT, Magnetic Resonance Imaging, MRI, PET, positron emission tomography
Received: 06 Aug 2025; Accepted: 09 Jan 2026.
Copyright: © 2026 Dum, Kulhalli and Singh. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Priyanka Singh
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.