Abnormal white matter changes in Alzheimer's disease based on diffusion tensor imaging: A systematic review
Y Chen, Y Wang, Z Song, Y Fan, T Gao… - Ageing Research Reviews, 2023 - Elsevier
Alzheimer's disease (AD) is a degenerative neurological disease in elderly individuals.
Subjective cognitive decline (SCD), mild cognitive impairment (MCI) and further …
Subjective cognitive decline (SCD), mild cognitive impairment (MCI) and further …
Machine learning and deep learning approaches for brain disease diagnosis: principles and recent advances
Brain is the controlling center of our body. With the advent of time, newer and newer brain
diseases are being discovered. Thus, because of the variability of brain diseases, existing …
diseases are being discovered. Thus, because of the variability of brain diseases, existing …
Artificial intelligence in brain MRI analysis of Alzheimer's disease over the past 12 years: A systematic review
Introduction Multiple structural brain changes in Alzheimer's disease (AD) and mild cognitive
impairment (MCI) have been revealed on magnetic resonance imaging (MRI). There is a fast …
impairment (MCI) have been revealed on magnetic resonance imaging (MRI). There is a fast …
[Retracted] An Exploration: Alzheimer's Disease Classification Based on Convolutional Neural Network
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 …
to a steady deterioration in cognitive ability. Deep learning models have shown outstanding …
[Retracted] Classification of Alzheimer's Disease Using Gaussian‐Based Bayesian Parameter Optimization for Deep Convolutional LSTM Network
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 …
and it is often challenging to use traditional manual procedures when diagnosing a disease …
Alzheimer's disease diagnosis via multimodal feature fusion
Y Tu, S Lin, J Qiao, Y Zhuang, P Zhang - Computers in biology and …, 2022 - Elsevier
Alzheimer's disease (AD) is the most common neurodegenerative disorder in the elderly.
Early diagnosis of AD plays a vital role in slowing down the progress of AD because there is …
Early diagnosis of AD plays a vital role in slowing down the progress of AD because there is …
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 …
Multi-modality MRI for Alzheimer's disease detection using deep learning
L Houria, N Belkhamsa, A Cherfa, Y Cherfa - Physical and Engineering …, 2022 - Springer
Diffusion tensor imaging (DTI) is a new technology in magnetic resonance imaging, which
allows us to observe the insightful structure of the human body in vivo and non-invasively. It …
allows us to observe the insightful structure of the human body in vivo and non-invasively. It …
An improved LeNet-deep neural network model for Alzheimer's disease classification using brain magnetic resonance images
Alzheimer's Disease (AD) is a psychological disorder in elderly people which causes severe
intellectual disabilities. Proper processing of neuro-images can provide differences in brain …
intellectual disabilities. Proper processing of neuro-images can provide differences in brain …
A systematic literature review on the significance of deep learning and machine learning in predicting Alzheimer's disease
Background Alzheimer's disease (AD) is the most prevalent cause of dementia,
characterized by a steady decline in mental, behavioral, and social abilities and impairs a …
characterized by a steady decline in mental, behavioral, and social abilities and impairs a …