Robust Alzheimer's Disease Classification Using Noisy Deep Dictionary Learning
A.B.Gayatri Devi
, B.Vijayakumar , A.D.Subha SrI , Ch.M.B.Dorababu , Dr. Valluri. Dhana Raj, Chikkam Surya Ramagouri
Alzheimer's Disease, Deep Dictionary Learning, Sparse Representation, Neuroimaging, Machine Learning
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.
"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
Volume 9
Issue 4,
April-2024
Pages : 1533-1544
Paper Reg. ID: IJSDR_308651
Published Paper Id: IJSDR2404226
Downloads: 00075
Research Area: Science and Technology
Country: -, -, India
DOI: https://doi.org/10.56975/ijsdr.v9i4.308651
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