ISSN2320-2882
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Paper Title

DETECTION OF ALZHEIMER'S DISEASE FROM BRAIN MRI SCANS

Authors

SUDARSI MAHARSHI , GUDI SUJITHKUMAR , V .ROSHITH , Mr.M.UMAMAHESH.M.E,

Keywords

Keywords: Alzheimer's disease, MRI, Deep learning, MobileNetV2, DenseNet121, Image enhancement, CLAHE, ESRGAN, Classification

Abstract

Alzheimer's disease (AD) is a progressive neurological disorder that affects memory, cognition, and brain structure. Accurate and early diagnosis is essential for effective treatment and clinical decision-making. This paper presents a deep learning-based framework for automated detection and stage classification of Alzheimer's disease using brain Magnetic Resonance Imaging (MRI) scans. A dataset containing approximately 6,400 MRI images was utilized and categorized into four stages of disease severity. Image preprocessing techniques, including Contrast Limited Adaptive Histogram Equalization (CLAHE) and Enhanced Super-Resolution Generative Adversarial Network (ESRGAN), were applied to improve contrast and resolution. An ensemble classification model combining MobileNetV2 and DenseNet121 architectures was implemented using TensorFlow and Keras. The performance of the system was evaluated using accuracy, precision, recall, and F1-score metrics. Experimental results demonstrate that the proposed approach improves classification performance and provides reliable detection of Alzheimer's disease stages. The system offers a computationally efficient and scalable solution for computer-aided medical diagnosis.

How To Cite

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IJCRT — journal style
"DETECTION OF ALZHEIMER'S DISEASE FROM BRAIN MRI SCANS", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 3, page no.b865-b870, March 2026, Available :https://ijcrt.org/papers/IJCRT2603226.pdf
APA — 7th edition
MAHARSHI, S., SUJITHKUMAR, G., .ROSHITH, V., & Mr.M.UMAMAHESH.M.E. (2026). DETECTION OF ALZHEIMER'S DISEASE FROM BRAIN MRI SCANS. International Journal of Creative Research Thoughts, 14(3), b865-b870. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603226
MLA — 9th edition
MAHARSHI, SUDARSI, et al. "DETECTION OF ALZHEIMER'S DISEASE FROM BRAIN MRI SCANS." International Journal of Creative Research Thoughts, vol. 14, no. 3, 2026, pp. b865-b870, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603226.
Chicago — 17th, bibliography
MAHARSHI, SUDARSI, et al. "DETECTION OF ALZHEIMER'S DISEASE FROM BRAIN MRI SCANS." International Journal of Creative Research Thoughts 14, no. 3 (2026): b865-b870. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603226.
Harvard — author–date
MAHARSHI, S. et al. (2026) 'DETECTION OF ALZHEIMER'S DISEASE FROM BRAIN MRI SCANS', International Journal of Creative Research Thoughts, 14(3), pp. b865-b870. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603226
IEEE — numbered reference
S. MAHARSHI, G. SUJITHKUMAR, V. .ROSHITH and Mr.M.UMAMAHESH.M.E, "DETECTION OF ALZHEIMER'S DISEASE FROM BRAIN MRI SCANS," IJCRT, vol. 14, no. 3, pp. b865-b870, Mar. 2026.
Vancouver — biomedical
MAHARSHI S, SUJITHKUMAR G, .ROSHITH V, Mr.M.UMAMAHESH.M.E. DETECTION OF ALZHEIMER'S DISEASE FROM BRAIN MRI SCANS. IJCRT. 2026 Mar;14(3):b865-b870.
AMA — 11th edition
MAHARSHI S, SUJITHKUMAR G, .ROSHITH V, Mr.M.UMAMAHESH.M.E. DETECTION OF ALZHEIMER'S DISEASE FROM BRAIN MRI SCANS. IJCRT. 2026;14(3):b865-b870. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603226
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2603226, author = {SUDARSI MAHARSHI and GUDI SUJITHKUMAR and V .ROSHITH and Mr.M.UMAMAHESH.M.E}, title = {DETECTION OF ALZHEIMER'S DISEASE FROM BRAIN MRI SCANS}, journal = {International Journal of Creative Research Thoughts}, volume = {14}, number = {3}, pages = {b865-b870}, year = {2026}, month = {March}, issn = {2320-2882}, url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603226} }
RIS — EndNote, RefWorks
TY - JOUR AU - MAHARSHI, SUDARSI AU - SUJITHKUMAR, GUDI AU - .ROSHITH, V AU - Mr.M.UMAMAHESH.M.E TI - DETECTION OF ALZHEIMER'S DISEASE FROM BRAIN MRI SCANS T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 14 IS - 3 PY - 2026 SN - 2320-2882 UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603226 SP - b865-b870 ER -

Issue

Volume 14 Issue 3, March-2026
Pages : b865-b870

Article Information

Pages
b865-b870
Published
March 2026
Registration ID
IJCRT_302749
Published Paper ID
IJCRT2603226
Research Area
Science and Technology
Author Type
Indian Author
Location
CHENNAI, TAMIL NADU, India
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
168

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International Journal of Creative Research Thoughts Published by IJCRT Publication
2320-2882 ISSN
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© 2026 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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