Deep-learning-based diagnosis and prognosis of Alzheimer's disease: A comprehensive review

R Sharma, T Goel, M Tanveer, CT Lin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder and the most
common cause of Dementia. Neuroimaging analyses, such as T1 weighted magnetic …

Deep learning-based diagnosis of Alzheimer's disease

TJ Saleem, SR Zahra, F Wu, A Alwakeel… - Journal of Personalized …, 2022 - mdpi.com
Alzheimer's disease (AD), the most familiar type of dementia, is a severe concern in modern
healthcare. Around 5.5 million people aged 65 and above have AD, and it is the sixth …

Hybridized deep learning approach for detecting Alzheimer's disease

P Balaji, MA Chaurasia, SM Bilfaqih, A Muniasamy… - Biomedicines, 2023 - mdpi.com
Alzheimer's disease (AD) is mainly a neurodegenerative sickness. The primary
characteristics are neuronal atrophy, amyloid deposition, and cognitive, behavioral, and …

Automatic detection of Alzheimer's disease using deep learning models and neuro-imaging: current trends and future perspectives

T Illakiya, R Karthik - Neuroinformatics, 2023 - Springer
Deep learning algorithms have a huge influence on tackling research issues in the field of
medical image processing. It acts as a vital aid for the radiologists in producing accurate …

Deep Learning-Assisted Diagnosis of Alzheimer's Disease from Brain Imaging Data

RR Yellu, Y Kukalakunta… - Journal of AI in Healthcare …, 2024 - healthsciencepub.com
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that primarily affects
older adults and is characterized by memory loss and cognitive decline. Early and accurate …

A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer's disease

AD Arya, SS Verma, P Chakarabarti, T Chakrabarti… - Brain Informatics, 2023 - Springer
Alzheimer's disease (AD) is a brain-related disease in which the condition of the patient gets
worse with time. AD is not a curable disease by any medication. It is impossible to halt the …

Early diagnosis of Alzheimer's disease based on deep learning: A systematic review

S Fathi, M Ahmadi, A Dehnad - Computers in biology and medicine, 2022 - Elsevier
Background The improvement of health indicators and life expectancy, especially in
developed countries, has led to population growth and increased age-related diseases …

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 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 …

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 …