Neuroimaging and machine learning for dementia diagnosis: recent advancements and future prospects

MR Ahmed, Y Zhang, Z Feng, B Lo… - IEEE reviews in …, 2018 - ieeexplore.ieee.org
Dementia, a chronic and progressive cognitive declination of brain function caused by
disease or impairment, is becoming more prevalent due to the aging population. A major …

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 …

Harnessing the power of machine learning in dementia informatics research: Issues, opportunities, and challenges

G Tsang, X Xie, SM Zhou - IEEE reviews in biomedical …, 2019 - ieeexplore.ieee.org
Dementia is a chronic and degenerative condition affecting millions globally. The care of
patients with dementia presents an ever-continuing challenge to healthcare systems in the …

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 …

Detection of Alzheimer's disease and dementia states based on deep learning from MRI images: a comprehensive review

E Altinkaya, K Polat, B Barakli - Journal of the Institute of Electronics …, 2020 - iecscience.org
Many studies have been conducted to examine abnormal conditions in brain structures and
to detect Alzheimer's and Dementia states using features derived from medical images …

A deep learning framework for early diagnosis of Alzheimer's disease on MRI images

DA Arafa, HED Moustafa, HA Ali, AMT Ali-Eldin… - Multimedia Tools and …, 2024 - Springer
Numerous medical studies have shown that Alzheimer's disease (AD) was present decades
before the clinical diagnosis of dementia. As a result of the development of these studies …

[HTML][HTML] Deep learning in Alzheimer's disease: diagnostic classification and prognostic prediction using neuroimaging data

T Jo, K Nho, AJ Saykin - Frontiers in aging neuroscience, 2019 - frontiersin.org
Deep learning, a state-of-the-art machine learning approach, has shown outstanding
performance over traditional machine learning in identifying intricate structures in complex …

Early detection of Alzheimer's disease based on the state-of-the-art deep learning approach: a comprehensive survey

DA Arafa, HED Moustafa, AMT Ali-Eldin… - Multimedia Tools and …, 2022 - Springer
Alzheimer's disease (AD) is a form of brain disorder that causes functions' loss in a person's
daily activity. Due to the tremendous progress of Alzheimer's patients and the lack of …

Deep learning based pipelines for Alzheimer's disease diagnosis: a comparative study and a novel deep-ensemble method

A Loddo, S Buttau, C Di Ruberto - Computers in biology and medicine, 2022 - Elsevier
Background Alzheimer's disease is a chronic neurodegenerative disease that destroys brain
cells, causing irreversible degeneration of cognitive functions and dementia. Its causes are …

A comprehensive report on machine learning-based early detection of alzheimer's disease using multi-modal neuroimaging data

S Sharma, PK Mandal - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
Alzheimer's Disease (AD) is a devastating neurodegenerative brain disorder with no cure.
An early identification helps patients with AD sustain a normal living. We have outlined …