Accurate detection of Alzheimer's disease using lightweight deep learning model on MRI data

AAA El-Latif, SA Chelloug, M Alabdulhafith, M Hammad - Diagnostics, 2023 - mdpi.com
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by cognitive
impairment and aberrant protein deposition in the brain. Therefore, the early detection of AD …

A robust and clinically applicable deep learning model for early detection of Alzheimer's

MM Rana, MM Islam, MA Talukder… - IET Image …, 2023 - Wiley Online Library
Alzheimer's disease, often known as dementia, is a severe neurodegenerative disorder that
causes irreversible memory loss by destroying brain cells. People die because there is no …

Deep Learning Based Model for Alzheimer's Disease Detection Using Brain MRI Images

M Mamun, SB Shawkat, MS Ahammed… - 2022 IEEE 13th …, 2022 - ieeexplore.ieee.org
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that causes problems
with memory, thinking, and behavior. And with time, symptoms become severe enough to …

ADD-Net: an effective deep learning model for early detection of Alzheimer disease in MRI scans

MMS Fareed, S Zikria, G Ahmed, S Mahmood… - IEEE …, 2022 - ieeexplore.ieee.org
Alzheimer's Disease (AD) is a neurological brain disorder marked by dementia and
neurological dysfunction that affects memory, behavioral patterns, and reasoning …

An ensemble of deep convolutional neural networks for Alzheimer's disease detection and classification

J Islam, Y Zhang - arXiv preprint arXiv:1712.01675, 2017 - arxiv.org
Alzheimer's Disease destroys brain cells causing people to lose their memory, mental
functions and ability to continue daily activities. It is a severe neurological brain disorder …

Deep Learning-Assisted Diagnosis of Alzheimer's Disease from Brain Imaging Data

RR Yellu, Y Kukalakunta… - Journal of AI in Healthcare …, 2024 - healthsciencepub.com
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that primarily affects
older adults and is characterized by memory loss and cognitive decline. Early and accurate …

Multiscale deep convolutional networks for characterization and detection of Alzheimer's disease using MR images

C Ge, Q Qu, IYH Gu, AS Jakola - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
This paper addresses the issues of Alzheimer's disease (AD) characterization and detection
from Magnetic Resonance Images (MRIs). Many existing AD detection methods use single …

An MRI scans-based Alzheimer's disease detection via convolutional neural network and transfer learning

KT Chui, BB Gupta, W Alhalabi, FS Alzahrani - Diagnostics, 2022 - mdpi.com
Alzheimer's disease (AD) is the most common type (> 60%) of dementia and can wreak
havoc on the psychological and physiological development of sufferers and their carers, as …

Deep learning to detect Alzheimer's disease from neuroimaging: A systematic literature review

MA Ebrahimighahnavieh, S Luo, R Chiong - Computer methods and …, 2020 - Elsevier
Alzheimer's Disease (AD) is one of the leading causes of death in developed countries.
From a research point of view, impressive results have been reported using computer-aided …

[HTML][HTML] An MRI-based deep learning approach for accurate detection of Alzheimer's disease

ELG Marwa, HED Moustafa, F Khalifa, H Khater… - Alexandria Engineering …, 2023 - Elsevier
Alzheimer's disease (AD) is the most prevalent type of dementia of the nervous system that
causes many brain functions to weaken (eg, memory loss). Non-invasive early diagnosis of …