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 …
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
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 …
[HTML][HTML] An MRI-based deep learning approach for accurate detection of Alzheimer's disease
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 …
causes many brain functions to weaken (eg, memory loss). Non-invasive early diagnosis of …
[HTML][HTML] Advancements in computer-assisted diagnosis of Alzheimer's disease: A comprehensive survey of neuroimaging methods and AI techniques for early …
Alzheimer's Disease (AD) is a brain disorder that causes the brain to shrink and eventually
causes brain cells to die. This neurological condition progressively hampers cognitive and …
causes brain cells to die. This neurological condition progressively hampers cognitive and …
A novel AI-based system for detection and severity prediction of dementia using MRI
Dementia is a symptom of Alzheimer's Disease (AD) that affects many people around the
globe each year. There is no effective cure to treat this disease, and it can prove to be …
globe each year. There is no effective cure to treat this disease, and it can prove to be …
FGI-CogViT: Fuzzy Granule-based Interpretable Cognitive Vision Transformer for Early Detection of Alzheimer's Disease using MRI Scan Images
Early detection of Alzheimer's disease (AD) is crucial for timely intervention and
management of this debilitating neurodegenerative disorder. However, it demands further …
management of this debilitating neurodegenerative disorder. However, it demands further …
Hybridized convolutional neural networks and long short-term memory for improved Alzheimer's disease diagnosis from MRI scans
Brain-related diseases are more sensitive than other diseases due to several factors,
including the complexity of surgical procedures, high costs, and other challenges …
including the complexity of surgical procedures, high costs, and other challenges …
A new weakly supervised deep neural network for recognizing Alzheimer's disease
X Zhang, Z Li, Q Zhang, Z Yin, Z Lu, Y Li - Computers in Biology and …, 2023 - Elsevier
Alzheimer's disease (AD) is a chronic neurodegenerative disease that mainly affects older
adults, causing memory loss and decline in thinking skills. In recent years, many traditional …
adults, causing memory loss and decline in thinking skills. In recent years, many traditional …
[HTML][HTML] Enhancing Alzheimer's Disease Detection through Ensemble Learning of Fine-Tuned Pre-Trained Neural Networks
O Topsakal, S Lenkala - Electronics, 2024 - mdpi.com
Alzheimer's Disease, a progressive brain disorder that impairs memory, thinking, and
behavior, has started to benefit from advancements in deep learning. However, the …
behavior, has started to benefit from advancements in deep learning. However, the …
Artificial intelligence techniques for the effective diagnosis of Alzheimer's disease: a review
K Aditya Shastry, HA Sanjay - Multimedia Tools and Applications, 2024 - Springer
Alzheimer's disease (AD) is a progressive and irreversible neurological disorder that leads
to memory loss and cognitive decline. It is a prevalent form of dementia among individuals …
to memory loss and cognitive decline. It is a prevalent form of dementia among individuals …