Alzheimer disease detection empowered with transfer learning

TM Ghazal, G Issa - Computers, Materials & …, 2022 - research.skylineuniversity.ac.ae
Alzheimer's disease is a severe neuron disease that damages brain cells which leads to
permanent loss of memory also called dementia. Many people die due to this disease every …

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 …

Alzheimer's disease classification using pre-trained deep networks

JV Shanmugam, B Duraisamy, BC Simon… - … Signal Processing and …, 2022 - Elsevier
Alzheimer disease (AD) is a progressive neurologic disorder that causes the brain to shrink
(atrophy) and brain cells to die. Alzheimer disease is the most common cause of dementia …

Detecting the stages of Alzheimer's disease with pre-trained deep learning architectures

S Savaş - Arabian Journal for Science and Engineering, 2022 - Springer
Deep learning algorithms have begun to be used in medical image processing studies,
especially in the last decade. MRI is used in the diagnosis of Alzheimer's disease, a type of …

A novel deep learning based multi-class classification method for Alzheimer's disease detection using brain MRI data

J Islam, Y Zhang - Brain Informatics: International Conference, BI 2017 …, 2017 - Springer
Alzheimer's Disease is a severe neurological brain disorder. It destroys brain cells causing
people to lose their memory, mental functions and ability to continue daily activities …

Deep learning-based Alzheimer disease detection

SS Kundaram, KC Pathak - … of the Fourth International Conference on …, 2021 - Springer
Deep learning methods have gained more popularity recently in medical image analysis.
This work proposes a deep convolutional neural network (DCNN) for Alzheimer's disease …

Deep convolution neural network based system for early diagnosis of Alzheimer's disease

RR Janghel, YK Rathore - Irbm, 2021 - Elsevier
Abstract Objectives Alzheimer's Disease (AD) is the most general type of dementia. In all
leading countries, it is one of the primary reasons of death in senior citizens. Currently, it is …

[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 …

Transfer learning assisted classification and detection of Alzheimer's disease stages using 3D MRI scans

M Maqsood, F Nazir, U Khan, F Aadil, H Jamal… - Sensors, 2019 - mdpi.com
Alzheimer's disease effects human brain cells and results in dementia. The gradual
deterioration of the brain cells results in disability of performing daily routine tasks. The …

An intelligent system for early recognition of Alzheimer's disease using neuroimaging

M Odusami, R Maskeliūnas, R Damaševičius - Sensors, 2022 - mdpi.com
Alzheimer's disease (AD) is a neurodegenerative disease that affects brain cells, and mild
cognitive impairment (MCI) has been defined as the early phase that describes the onset of …