[HTML][HTML] Advancements in computer-assisted diagnosis of Alzheimer's disease: A comprehensive survey of neuroimaging methods and AI techniques for early …

K Shanmugavadivel, VE Sathishkumar, J Cho… - Ageing Research …, 2023 - Elsevier
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 …

Artificial intelligence for cognitive health assessment: state-of-the-art, open challenges and future directions

AR Javed, A Saadia, H Mughal, TR Gadekallu… - Cognitive …, 2023 - Springer
The subjectivity and inaccuracy of in-clinic Cognitive Health Assessments (CHA) have led
many researchers to explore ways to automate the process to make it more objective and to …

Multi-method analysis of medical records and MRI images for early diagnosis of dementia and Alzheimer's disease based on deep learning and hybrid methods

BA Mohammed, EM Senan, TH Rassem, NM Makbol… - Electronics, 2021 - mdpi.com
Dementia and Alzheimer's disease are caused by neurodegeneration and poor
communication between neurons in the brain. So far, no effective medications have been …

Automated detection of Alzheimer's via hybrid classical quantum neural networks

T Shahwar, J Zafar, A Almogren, H Zafar, AU Rehman… - Electronics, 2022 - mdpi.com
Deep Neural Networks have offered numerous innovative solutions to brain-related
diseases including Alzheimer's. However, there are still a few standpoints in terms of …

Early-stage Alzheimer's disease categorization using PET neuroimaging modality and convolutional neural networks in the 2D and 3D domains

AB Tufail, N Anwar, MTB Othman, I Ullah, RA Khan… - Sensors, 2022 - mdpi.com
Alzheimer's Disease (AD) is a health apprehension of significant proportions that is
negatively impacting the ageing population globally. It is characterized by neuronal loss and …

[Retracted] On Improved 3D‐CNN‐Based Binary and Multiclass Classification of Alzheimer's Disease Using Neuroimaging Modalities and Data Augmentation …

AB Tufail, K Ullah, RA Khan, M Shakir… - Journal of …, 2022 - Wiley Online Library
Alzheimer's disease (AD) is an irreversible illness of the brain impacting the functional and
daily activities of elderly population worldwide. Neuroimaging sensory systems such as …

Deep and hybrid learning of MRI diagnosis for early detection of the progression stages in Alzheimer's disease

I Abunadi - Connection Science, 2022 - Taylor & Francis
Alzheimer's, or so-called dementia, is one of the types of diseases that affects brain cells and
causes memory loss, difficulty in thinking, and forgetfulness. Thus far, there is no effective …

On disharmony in batch normalization and dropout methods for early categorization of Alzheimer's disease

AB Tufail, I Ullah, AU Rehman, RA Khan, MA Khan… - Sustainability, 2022 - mdpi.com
Alzheimer's disease (AD) is a global health issue that predominantly affects older people. It
affects one's daily activities by modifying neural networks in the brain. AD is categorized by …

A CAD system for Alzheimer's disease classification using neuroimaging MRI 2D slices

M Sethi, S Rani, A Singh… - … Mathematical Methods in …, 2022 - Wiley Online Library
Developments in medical care have inspired wide interest in the current decade, especially
to their services to individuals living prolonged and healthier lives. Alzheimer's disease (AD) …

Hippocampus segmentation-based Alzheimer's disease diagnosis and classification of mri images

A Balasundaram, S Srinivasan, A Prasad… - Arabian Journal for …, 2023 - Springer
Alzheimer's disease represents a neurological condition characterized by steady cognitive
decline and eventual memory loss due to the death of brain cells. It is one of the most …