Detecting Alzheimer's disease using machine learning methods

K Dashtipour, W Taylor, S Ansari, A Zahid… - … Conference on Body …, 2021 - Springer
As the world is experiencing population growth, the portion of the older people, aged 65 and
above, is also growing at a faster rate. As a result, the dementia with Alzheimer's disease is …

[PDF][PDF] Deep learning techniques for early detection of Alzheimer's disease: A review

V Sanjay, P Swarnalatha - IJEER, 2022 - academia.edu
░ ABSTRACT-Alzheimer's disease (AD) is the most prevalent kind of dementia illness that
can significantly impair a person's capability to carry out everyday tasks. According to …

Automated detection of Alzheimer disease using MRI images and deep neural networks-A review

N Singh, N Soni, A Kapoor - arXiv preprint arXiv:2209.11282, 2022 - arxiv.org
Early detection of Alzheimer disease is crucial for deploying interventions and slowing the
disease progression. A lot of machine learning and deep learning algorithms have been …

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 …

[HTML][HTML] 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 …

Efficient Alzheimer's disease detection using deep learning technique

B Sekhar, AK Jagadev - Soft Computing, 2023 - Springer
The human brain serves as the primary control centre for the humanoid system. Computer
vision plays a vital part in the field of human health, which helps to reduce the amount of …

Deep learning and image processing-based early detection of Alzheimer disease in cognitively normal individuals

P Borkar, VA Wankhede, DT Mane, S Limkar… - Soft Computing, 2023 - Springer
Alzheimer's patients typically suffer from a decline in cognitive abilities, which makes it
difficult for them to carry out the activities of daily living. At this time, it is unknown whether or …

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 …

Alzheimer disease detection techniques and methods: a review

S Afzal, M Maqsood, U Khan, I Mehmood, H Nawaz… - 2021 - reunir.unir.net
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 …

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 …