Deep learning for Alzheimer's disease diagnosis: A survey

M Khojaste-Sarakhsi, SS Haghighi… - Artificial intelligence in …, 2022 - Elsevier
Alzheimer's Disease (AD) is an irreversible neurodegenerative disease that results in a
progressive decline in cognitive abilities. Since AD starts several years before the onset of …

Early diagnosis of Alzheimer's disease based on deep learning: A systematic review

S Fathi, M Ahmadi, A Dehnad - Computers in biology and medicine, 2022 - Elsevier
Background The improvement of health indicators and life expectancy, especially in
developed countries, has led to population growth and increased age-related diseases …

Analysis of features of Alzheimer's disease: Detection of early stage from functional brain changes in magnetic resonance images using a finetuned ResNet18 network

M Odusami, R Maskeliūnas, R Damaševičius… - Diagnostics, 2021 - mdpi.com
One of the first signs of Alzheimer's disease (AD) is mild cognitive impairment (MCI), in
which there are small variants of brain changes among the intermediate stages. Although …

A deep Siamese convolution neural network for multi-class classification of Alzheimer disease

A Mehmood, M Maqsood, M Bashir, Y Shuyuan - Brain sciences, 2020 - mdpi.com
Alzheimer's disease (AD) may cause damage to the memory cells permanently, which
results in the form of dementia. The diagnosis of Alzheimer's disease at an early stage is a …

[HTML][HTML] Alzheimer's disease detection from structural MRI using conditional deep triplet network

M Orouskhani, C Zhu, S Rostamian, FS Zadeh… - Neuroscience …, 2022 - Elsevier
Alzheimer's disease (AD) as an advanced brain disorder may cause damage to the memory
and tissue loss in the brain. Since AD is a mostly costly disease, various deep learning …

[Retracted] Diagnosis of Alzheimer Disease Using 2D MRI Slices by Convolutional Neural Network

FEK Al-Khuzaie, O Bayat… - Applied Bionics and …, 2021 - Wiley Online Library
There are many kinds of brain abnormalities that cause changes in different parts of the
brain. Alzheimer's disease is a chronic condition that degenerates the cells of the brain …

[Retracted] An Exploration: Alzheimer's Disease Classification Based on Convolutional Neural Network

M Sethi, S Ahuja, S Rani, D Koundal… - BioMed Research …, 2022 - Wiley Online Library
Alzheimer's disease (AD) is the most generally known neurodegenerative disorder, leading
to a steady deterioration in cognitive ability. Deep learning models have shown outstanding …

Automated detection of Alzheimer's disease and mild cognitive impairment using whole brain MRI

FUR Faisal, GR Kwon - IEEE Access, 2022 - ieeexplore.ieee.org
Early diagnosis is critical for the development and success of interventions, and
neuroimaging is one of the most promising areas for early detection of Alzheimer's disease …

[Retracted] Classification of Alzheimer's Disease Using Gaussian‐Based Bayesian Parameter Optimization for Deep Convolutional LSTM Network

M Sethi, S Ahuja, S Rani, P Bawa… - … Methods in Medicine, 2021 - Wiley Online Library
Alzheimer's disease (AD) is one of the most important causes of mortality in elderly people,
and it is often challenging to use traditional manual procedures when diagnosing a disease …

Explainable deep-learning-based diagnosis of Alzheimer's disease using multimodal input fusion of PET and MRI Images

M Odusami, R Maskeliūnas, R Damaševičius… - Journal of Medical and …, 2023 - Springer
Purpose Alzheimer's disease (AD) is a progressive, incurable human brain illness that
impairs reasoning and retention as well as recall. Detecting AD in its preliminary stages …