A deep learning framework with an embedded-based feature selection approach for the early detection of the Alzheimer's disease
N Mahendran, DRV PM - Computers in Biology and Medicine, 2022 - Elsevier
Ageing is associated with various ailments including Alzheimer's disease (AD), which is a
progressive form of dementia. AD symptoms develop over a period of years and …
progressive form of dementia. AD symptoms develop over a period of years and …
Early diagnosis of Alzheimer's disease based on deep learning: A systematic review
Background The improvement of health indicators and life expectancy, especially in
developed countries, has led to population growth and increased age-related diseases …
developed countries, has led to population growth and increased age-related diseases …
Robust hybrid deep learning models for Alzheimer's progression detection
The prevalence of Alzheimer's disease (AD) in the growing elderly population makes
accurately predicting AD progression crucial. Due to AD's complex etiology and …
accurately predicting AD progression crucial. Due to AD's complex etiology and …
Multi-modality cascaded convolutional neural networks for Alzheimer's disease diagnosis
M Liu, D Cheng, K Wang, Y Wang… - Neuroinformatics, 2018 - Springer
Accurate and early diagnosis of Alzheimer's disease (AD) plays important role for patient
care and development of future treatment. Structural and functional neuroimages, such as …
care and development of future treatment. Structural and functional neuroimages, such as …
A robust and clinically applicable deep learning model for early detection of Alzheimer's
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 …
causes irreversible memory loss by destroying brain cells. People die because there is no …
Alzheimer disease detection techniques and methods: a review
Brain pathological changes linked with Alzheimer's disease (AD) can be measured with
Neuroimaging. In the past few years, these measures are rapidly integrated into the …
Neuroimaging. In the past few years, these measures are rapidly integrated into the …
A deep feature-based real-time system for Alzheimer disease stage detection
The origin of dementia can be largely attributed to Alzheimer's disease (AD). The
progressive nature of AD causes the brain cell deterioration that eventfully leads to physical …
progressive nature of AD causes the brain cell deterioration that eventfully leads to physical …
[HTML][HTML] Early detection of Alzheimer's disease based on the state-of-the-art deep learning approach: a comprehensive survey
Alzheimer's disease (AD) is a form of brain disorder that causes functions' loss in a person's
daily activity. Due to the tremendous progress of Alzheimer's patients and the lack of …
daily activity. Due to the tremendous progress of Alzheimer's patients and the lack of …
[HTML][HTML] Hybridized deep learning approach for detecting Alzheimer's disease
Alzheimer's disease (AD) is mainly a neurodegenerative sickness. The primary
characteristics are neuronal atrophy, amyloid deposition, and cognitive, behavioral, and …
characteristics are neuronal atrophy, amyloid deposition, and cognitive, behavioral, and …
[HTML][HTML] An approach for classification of Alzheimer's disease using deep neural network and brain magnetic resonance imaging (MRI)
Alzheimer's disease (AD) is a deadly cognitive condition in which people develop severe
dementia symptoms. Neurologists commonly use a series of physical and mental tests to …
dementia symptoms. Neurologists commonly use a series of physical and mental tests to …