Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)

A 2D-CNN Based System for the Classification of Alzheimer’s Disease Using Brain MRI Scans

Authors
Atul Mathur1, *, Rakesh Kumar Dwivedi1, Rajul Rastogi2
1College of Computing Sciences & IT, Teerthanker Mahaveer University, Moradabad, India
2Medical College & Research Centre, Teerthanker Mahaveer University, Moradabad, India
*Corresponding author. Email: atulm1979@gmail.com
Corresponding Author
Atul Mathur
Available Online 19 April 2025.
DOI
10.2991/978-94-6463-700-7_2How to use a DOI?
Keywords
Alzheimer’s disease; Convolutional Neural Network; MRI scans
Abstract

Alzheimer’s disease (AD) is a commonly spread brain illness. A computer-assisted method becomes vital for accurate and timely AD categorization. Deep learning algorithms offer substantial advantages over machine learning techniques. The execution of deep learning is extremely efficient in the area of AD diagnosis from MR brain scans. The principal aim of the projected model is to discover the outcome using a Convolutional Neural Network (CNN) applied to the MR scans for AD classification. A variety of CNN architectures are available. The projected model is an implementation of basic construction with a change as per the convolutional layer’s kernel size and its strides. The study proposes a sequential CNN system for AD categorization. The proposed system reached 98.78% classification accuracy on the ‘Alzheimer’s Disease Neuroimaging Initiative (ADNI)’ dataset for the multiclass categorization of AD. The outcomes were promising for the detection of AD.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)
Series
Advances in Intelligent Systems Research
Publication Date
19 April 2025
ISBN
978-94-6463-700-7
ISSN
1951-6851
DOI
10.2991/978-94-6463-700-7_2How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Atul Mathur
AU  - Rakesh Kumar Dwivedi
AU  - Rajul Rastogi
PY  - 2025
DA  - 2025/04/19
TI  - A 2D-CNN Based System for the Classification of Alzheimer’s Disease Using Brain MRI Scans
BT  - Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)
PB  - Atlantis Press
SP  - 4
EP  - 16
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-700-7_2
DO  - 10.2991/978-94-6463-700-7_2
ID  - Mathur2025
ER  -