Early Alzheimer’s Disease Detection Using Deep Ensemble Learning and MRI Image Analysis

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 15 | 01 | Page :
    By

    Altaf O. Mulani,

  1. Professor, Department of Electronics and Telecommunication, SKN Sinhgad College of Engineering, Maharashtra, India

Abstract

Early detection of Alzheimer’s disease (AD) is crucial to slowing cognitive decline and enabling timely clinical interventions. Traditional diagnostic methods, including cognitive tests and single-model classifiers, have limited sensitivity during early stages of the disease. This paper presents a deep ensemble learning approach that integrates multiple convolutional neural networks (CNNs) for accurate Alzheimer’s disease detection using structural Magnetic Resonance Imaging (MRI) data. The proposed framework utilizes ResNet50, VGG16, and DenseNet121 as base learners and a meta-learner based on gradient boosting for final classification. Preprocessing includes skull stripping, normalization, and spatial smoothing. Data augmentation enhances generalization, and feature fusion at the decision level improves robustness. We evaluate our approach on the ADNI dataset using five fold cross-validation. The ensemble model outperforms individual CNNs, achieving 94.3% accuracy, 95% precision, 93.5% recall, and 94.2% F1-score. SHAP-based interpretability further enables visualization of brain regions influencing predictions. The study concludes that deep ensemble learning provides a powerful, scalable framework for early-stage AD prediction and has strong potential for integration into clinical decision support systems.

Keywords: Alzheimer’s Disease, CNN, Deep Learning, Ensemble Learning, MRI

How to cite this article:
Altaf O. Mulani. Early Alzheimer’s Disease Detection Using Deep Ensemble Learning and MRI Image Analysis. Research and Reviews : Journal of Computational Biology. 2026; 15(01):-.
How to cite this URL:
Altaf O. Mulani. Early Alzheimer’s Disease Detection Using Deep Ensemble Learning and MRI Image Analysis. Research and Reviews : Journal of Computational Biology. 2026; 15(01):-. Available from: https://journals.stmjournals.com/rrjocb/article=2026/view=235696


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Ahead of Print Subscription Review Article
Volume 15
01
Received 13/07/2025
Accepted 19/12/2025
Published 07/01/2026
Publication Time 178 Days
150

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