MRI deep learning-based solution for Alzheimer's disease prediction

CL Saratxaga, I Moya, A Picón, M Acosta… - Journal of personalized …, 2021 - mdpi.com
Background: Alzheimer's is a degenerative dementing disorder that starts with a mild
memory impairment and progresses to a total loss of mental and physical faculties. The …

Integrating convolutional neural networks, kNN, and Bayesian optimization for efficient diagnosis of Alzheimer's disease in magnetic resonance images

S Lahmiri - Biomedical Signal Processing and Control, 2023 - Elsevier
Deep learning is attracting growing interest from biomedical engineering community.
Researchers and clinicians are also increasingly interested in development of machine …

Automated detection of Alzheimer's Disease using Deep Learning in MRI

PCM Raees, V Thomas - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
Alzheimer's disease (AD) is a progressive mental deterioration and incurable
neurodegenerative disease that can occur in middle or old age, due to generalized …

Automatic Analysis of MRI Images for Early Prediction of Alzheimer's Disease Stages Based on Hybrid Features of CNN and Handcrafted Features

A Khalid, EM Senan, K Al-Wagih, MM Ali Al-Azzam… - Diagnostics, 2023 - mdpi.com
Alzheimer's disease (AD) is considered one of the challenges facing health care in the
modern century; until now, there has been no effective treatment to cure it, but there are …

Brain MRI analysis for Alzheimer's disease diagnosis using an ensemble system of deep convolutional neural networks

J Islam, Y Zhang - Brain informatics, 2018 - Springer
Alzheimer's disease is an incurable, progressive neurological brain disorder. Earlier
detection of Alzheimer's disease can help with proper treatment and prevent brain tissue …

Deep learning model for prediction of progressive mild cognitive impairment to Alzheimer's disease using structural MRI

BY Lim, KW Lai, K Haiskin… - Frontiers in Aging …, 2022 - frontiersin.org
Alzheimer's disease (AD) is an irreversible neurological disorder that affects the vast
majority of dementia cases, leading patients to experience gradual memory loss and …

A single model deep learning approach for Alzheimer's disease diagnosis

F Zhang, B Pan, P Shao, P Liu, S Shen, P Yao, RX Xu… - Neuroscience, 2022 - Elsevier
Early and accurate diagnosis of Alzheimer's disease (AD) and its prodromal period mild
cognitive impairment (MCI) is essential for the delayed disease progression and the …

Artificial intelligence-based diagnosis of Alzheimer's disease with brain MRI images

Z Yao, H Wang, W Yan, Z Wang, W Zhang… - European Journal of …, 2023 - Elsevier
Alzheimer's disease, a primary neurodegenerative condition, predominantly impacts the
elderly and pre-elderly population. This progressive neurological disorder is characterized …

Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review

Z Zhao, JH Chuah, KW Lai, CO Chow… - Frontiers in …, 2023 - frontiersin.org
Alzheimer's disease (AD) is a neurodegenerative disorder that causes memory degradation
and cognitive function impairment in elderly people. The irreversible and devastating …

Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer's disease

M Huang, W Yang, Q Feng, W Chen - Scientific reports, 2017 - nature.com
Accurate prediction of Alzheimer's disease (AD) is important for the early diagnosis and
treatment of this condition. Mild cognitive impairment (MCI) is an early stage of AD …