Automated MRI-based deep learning model for detection of Alzheimer's disease process

W Feng, NV Halm-Lutterodt, H Tang… - … Journal of Neural …, 2020 - World Scientific
In the context of neuro-pathological disorders, neuroimaging has been widely accepted as a
clinical tool for diagnosing patients with Alzheimer's disease (AD) and mild cognitive …

[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 …

[HTML][HTML] Deep learning model for prediction of progressive mild cognitive impairment to Alzheimer's disease using structural MRI

BY Lim, KW Lai, K Haiskin… - Frontiers in Aging …, 2022 - frontiersin.org
Alzheimer's disease (AD) is an irreversible neurological disorder that affects the vast
majority of dementia cases, leading patients to experience gradual memory loss and …

[HTML][HTML] A deep learning based convolutional neural network model with VGG16 feature extractor for the detection of Alzheimer Disease using MRI scans

S Sharma, K Guleria, S Tiwari, S Kumar - Measurement: Sensors, 2022 - Elsevier
Alzheimer's disease (AD) is one of the most prevalent types of dementia, which primarily
affects people over age 60. In clinical practice, it is a challenging task to identify AD in its …

Integrating convolutional neural networks, kNN, and Bayesian optimization for efficient diagnosis of Alzheimer's disease in magnetic resonance images

S Lahmiri - Biomedical Signal Processing and Control, 2023 - Elsevier
Deep learning is attracting growing interest from biomedical engineering community.
Researchers and clinicians are also increasingly interested in development of machine …

[HTML][HTML] Brain MRI analysis for Alzheimer's disease diagnosis using CNN-based feature extraction and machine learning

D AlSaeed, SF Omar - Sensors, 2022 - mdpi.com
Alzheimer's disease is the most common form of dementia and the fifth-leading cause of
death among people over the age of 65. In addition, based on official records, cases of …

Diagnosis and classification of Alzheimer's disease by using a convolution neural network algorithm

MH Al-Adhaileh - Soft Computing, 2022 - Springer
Alzheimer's disease (AD) is a high-risk and atrophic neurological illness that slowly and
gradually destroys brain cells (ie neurons). As the most common type of amentia, AD affects …

Deep convolutional neural network based classification of Alzheimer's disease using MRI data

A Nawaz, SM Anwar, R Liaqat, J Iqbal… - 2020 IEEE 23rd …, 2020 - ieeexplore.ieee.org
Alzheimer's disease (AD) is a progressive and incurable neurodegenerative disease which
destroys brain cells and causes loss to patient's memory. Early detection can prevent the …

Deep learning based binary classification for alzheimer's disease detection using brain mri images

E Hussain, M Hasan, SZ Hassan… - 2020 15th IEEE …, 2020 - ieeexplore.ieee.org
Alzheimer's disease is an irremediable, continuous brain disorder that gradually destroys
memory and thinking skills and, eventually, the ability to carry out the simplest tasks. It has …

[HTML][HTML] Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review

Z Zhao, JH Chuah, KW Lai, CO Chow… - Frontiers in …, 2023 - frontiersin.org
Alzheimer's disease (AD) is a neurodegenerative disorder that causes memory degradation
and cognitive function impairment in elderly people. The irreversible and devastating …