Review on alzheimer disease detection methods: Automatic pipelines and machine learning techniques

A Shukla, R Tiwari, S Tiwari - Sci, 2023 - mdpi.com
Alzheimer's Disease (AD) is becoming increasingly prevalent across the globe, and various
diagnostic and detection methods have been developed in recent years. Several techniques …

Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review

S Takahashi, Y Sakaguchi, N Kouno… - Journal of Medical …, 2024 - Springer
In the rapidly evolving field of medical image analysis utilizing artificial intelligence (AI), the
selection of appropriate computational models is critical for accurate diagnosis and patient …

Coupling machine and deep learning with explainable artificial intelligence for improving prediction of groundwater quality and decision-making in Arid Region, Saudi …

F Alshehri, A Rahman - Water, 2023 - mdpi.com
Recently, machine learning (ML) and deep learning (DL) models based on artificial
intelligence (AI) have emerged as fast and reliable tools for predicting water quality index …

Vision transformer approach for classification of Alzheimer's disease using 18F-Florbetaben brain images

H Shin, S Jeon, Y Seol, S Kim, D Kang - Applied Sciences, 2023 - mdpi.com
Dementia is a degenerative disease that is increasingly prevalent in an aging society.
Alzheimer's disease (AD), the most common type of dementia, is best mitigated via early …

Utilizing Siamese 4D-AlzNet and Transfer Learning to Identify Stages of Alzheimer's Disease

A Mehmood, F Shahid, R Khan, MM Ibrahim, Z Zheng - Neuroscience, 2024 - Elsevier
Alzheimer's disease (AD) is the general form of dementia, leading to a progressive
neurological disorder characterized by memory loss due to brain cell damage. Artificial …

Transformer's Role in Brain MRI: A Scoping Review

M Hayat, S Aramvith - IEEE Access, 2024 - ieeexplore.ieee.org
Magnetic Resonance Imaging (MRI) is a critical imaging technique that provides detailed
visualization of internal structures without harmful radiation. This review focuses on key MRI …

Exploring the versatility of copper-based nanoparticles as contrast agents in various imaging modalities

TP Okonkwo, OD Amienghemhen, AN Nkwor… - Nano-Structures & Nano …, 2024 - Elsevier
The utilization of copper-based nanoparticles (NPs) for biomedical imaging has garnered
significant attention in recent years, offering promising avenues for enhanced diagnostic and …

A systematic review of vision transformers and convolutional neural networks for Alzheimer's disease classification using 3D MRI images

MA Bravo-Ortiz, SA Holguin-Garcia… - Neural Computing and …, 2024 - Springer
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that mainly affects
memory and other cognitive functions, such as thinking, reasoning, and the ability to carry …

TriAD: A deep ensemble network for Alzheimer classification and localisation

F Mercaldo, M Di Giammarco, F Ravelli… - IEEE …, 2023 - ieeexplore.ieee.org
Alzheimer's disease is a hereditary neuro-degenerative disorder whose typical form causes
amnestic cognitive impairment and less common variants cause non-amnestic cognitive …

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 …