Alzheimer's Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review

MG Alsubaie, S Luo, K Shaukat - Machine Learning and Knowledge …, 2024 - mdpi.com
Alzheimer's disease (AD) is a pressing global issue, demanding effective diagnostic
approaches. This systematic review surveys the recent literature (2018 onwards) to …

Deep learning based computer aided diagnosis of Alzheimer's disease: a snapshot of last 5 years, gaps, and future directions

A Bhandarkar, P Naik, K Vakkund… - Artificial Intelligence …, 2024 - Springer
Alzheimer's disease affects around one in every nine persons among the elderly population.
Being a neurodegenerative disease, its cure has not been established till date and is …

Autism spectrum disorder detection using facial images: A performance comparison of pretrained convolutional neural networks

I Ahmad, J Rashid, M Faheem, A Akram… - Healthcare …, 2024 - Wiley Online Library
Autism spectrum disorder (ASD) is a complex psychological syndrome characterized by
persistent difficulties in social interaction, restricted behaviours, speech, and nonverbal …

Investigating Deep Learning for Early Detection and Decision-Making in Alzheimer's Disease: A Comprehensive Review

G Hcini, I Jdey, H Dhahri - Neural Processing Letters, 2024 - Springer
Alzheimer's disease (AD) is a neurodegenerative disorder that affects millions of people
worldwide, making early detection essential for effective intervention. This review paper …

A multi-scale feature selection module based architecture for the diagnosis of Alzheimer's disease on [18F] FDG PET

Y Wang, S Chen, X Tian, Y Lin, D Han, P Yao… - International Journal of …, 2024 - Elsevier
Objective Alzheimer's disease (AD) is a prevalent form of dementia worldwide as a cryptic
neurodegenerative disease. The symptoms of AD will last for several years, which brings …

Comprehensive Systematic Computation on Alzheimer's Disease Classification

P Upadhyay, P Tomar, SP Yadav - Archives of Computational Methods in …, 2024 - Springer
Alzheimer's disease (AD) is a degenerative neurological ailment that progressively affects a
large number of individuals globally. Timely and precise diagnosis of this ailment is crucial …

Brain MRI Image Analysis for Alzheimer's Disease (AD) Prediction Using Deep Learning Approaches

A Singh, R Kumar - SN Computer Science, 2024 - Springer
Alzheimer's disease (AD) is an irreversible, progressive neurodegenerative condition that
causes memory impairment decline. Alzheimer's disease (AD) stands as one of the most …

Data Protection and Privacy Management for Healthcare Wearable Devices

A AlMazrouei, AA Alzoubi, HM Alzoubi - Technology Innovation for …, 2024 - Springer
The advent of mobile health has opened up fascinating new avenues for patient
engagement in their healthcare. Health data collected by wearable devices may be …

[HTML][HTML] FDCNN-AS: Federated Deep Convolutional Neural Network Alzheimer Detection Schemes for Different Age Groups

A Lakhan, MA Mohammed, MK Abd Ghani… - Information …, 2024 - Elsevier
Alzheimer's disease (AD) is a memory-related disease that occurs in the human brain where
neurons become degenerative. It is an evolved form of dementia that deteriorates over time …

: a unified neural network architecture for brain image classification

S Ghosh, Deepti, S Gupta - … Modeling Analysis in Health Informatics and …, 2024 - Springer
In brain-related diseases, including Brain Tumours and Alzheimer's, accurate and timely
diagnosis is crucial for effective medical intervention. Current state-of-the-art (SOTA) …