Alz-SAENet: A Deep Sparse Autoencoder based Model for Alzheimer’s Classification

Precise identification of Alzheimer's Disease (AD) is vital in health care, especially at an early stage, since recognizing the likelihood of incidence and progression allows patients to adopt preventive measures before irreparable brain damage occurs. Magnetic Resonance Imaging is an effective...

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Bibliographic Details

Published in:	International journal of advanced computer science & applications Vol. 13; no. 10
Main Authors:	Reddy, G Nagarjuna, Reddy, K Nagi
Format:	Journal Article
Language:	English
Published:	West Yorkshire Science and Information (SAI) Organization Limited 2022
Subjects:	Alzheimer's disease Artificial neural networks Brain damage Extraction procedures Feature extraction Magnetic resonance imaging Neural networks
ISSN:	2158-107X, 2156-5570
Online Access:	Get full text
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