Paper Title

Robust Alzheimer's Disease Classification Using Noisy Deep Dictionary Learning

Authors

A.B.Gayatri Devi , B.Vijayakumar , A.D.Subha SrI , Ch.M.B.Dorababu , Dr. Valluri. Dhana Raj, Chikkam Surya Ramagouri

Keywords

Alzheimer's Disease, Deep Dictionary Learning, Sparse Representation, Neuroimaging, Machine Learning

Abstract

Early diagnosis of Alzheimer's Disease (AD) remains a critical challenge in medical imaging and artificial intelligence. Machine learning techniques applied to neuroimaging datasets have shown promising results in assisting clinicians with early detection of AD. This paper presents a robust feature extraction approach based on Noisy Deep Dictionary Learning (NDDL). The proposed framework integrates hierarchical sparse representation with noise-based regularization to improve robustness and generalization of learned features. Experiments conducted using MRI scans from the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset demonstrate improved classification performance compared with traditional machine learning and deep learning models. Results indicate that the proposed approach achieves higher accuracy while maintaining interpretability of learned representations.

How To Cite

"Robust Alzheimer's Disease Classification Using Noisy Deep Dictionary Learning", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 4, page no.1533-1544, April-2024, Available :https://ijsdr.org/papers/IJSDR2404226.pdf

Issue

Volume 9 Issue 4, April-2024

Pages : 1533-1544

Other Publication Details

Paper Reg. ID: IJSDR_308651

Published Paper Id: IJSDR2404226

Downloads: 00075

Research Area: Science and Technology

Country: -, -, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2404226

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2404226

DOI: https://doi.org/10.56975/ijsdr.v9i4.308651

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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