Leveraging Deep Learning for Early Detection of Alzheimer's Disease from MRI Scans

Title

Leveraging Deep Learning for Early Detection of Alzheimer's Disease from MRI Scans

Creator

Singh, Aishwarya; Raju, G.; Bijeesh, T.V.; Bejoy, B.J.

Description

Alzheimer's disease (AD) remains shrouded in mystery, with its early detection posing a significant challenge. This research paper delves into the cutting-edge realm of deep learning, exploring its potential to explore the brain's secrets and revolutionize AD diagnostics using Magnetic Resonance Imaging (MRI) data. Upon comprehensively reviewing the performance of six state-of-the-art models and studying their strengths and limitations on MRI data, this paper proposes a novel deep-learning architecture based on the InceptionV3 model for Alzheimer's Disease prediction using MRI data. The proposed architecture leverages convolutional neural networks (CNNs) to extract subtle brain structure and function patterns, potentially identifying early AD signatures before noticeable cognitive decline. The proposed model is validated on a large-scale MRI dataset that comprises four stages of dementia, demonstrating more insights. Inception V3 base model yielded 82% accuracy, measured using the metric Area Under the Curve (AUC), on the dataset, and an improved AUC of 87% was achieved by performing data augmentation to remove the class imbalance in the dataset. The proposed deep learning model built on top of Inception V3 exhibited an improved performance with an AUC of 88% underlining the potential of deep learning models in early AD detection. The paper's findings will contribute to the ongoing effort to revolutionize AD diagnosis and accelerate the development of personalized treatment strategies. Grenze Scientific Society, 2025.

Source

16th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2025;Volume;1;pp.3157-3163

Date

01-01-2025

Publisher

Grenze Scientific Society

Subject

Alzheimer's disease detection; Convolutional Neural Networks; Deep Learning; Magnetic Resonance Imaging (MRI) data

Coverage

Singh A., CHRIST University, Department of CSE, Bangalore, India; Raju G., CHRIST University, Department of CSE, Bangalore, India; Bijeesh T.V., CHRIST University, Department of CSE, Bangalore, India; Bejoy B.J., CHRIST University, Department of CSE, Bangalore, India

Rights

Restricted Access; Hardcopy may be available in the library

Format

online

Language

English

Type

Conference paper

Identifier

https://www.scopus.com/pages/publications/105034188011?origin=resultslist