Computer aided Alzheimer's disease diagnosis by an unsupervised deep learning technology

X Bi, S Li, B Xiao, Y Li, G Wang, X Ma - Neurocomputing, 2020 - Elsevier
Deep learning technologies have played more and more important roles in Computer Aided
Diagnosis (CAD) in medicine. In this paper, we tackled the problem of automatic prediction …

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 …

Deep learning for Alzheimer's disease diagnosis: A survey

M Khojaste-Sarakhsi, SS Haghighi… - Artificial intelligence in …, 2022 - Elsevier
Alzheimer's Disease (AD) is an irreversible neurodegenerative disease that results in a
progressive decline in cognitive abilities. Since AD starts several years before the onset of …

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 …

Multi-modality cascaded convolutional neural networks for Alzheimer's disease diagnosis

M Liu, D Cheng, K Wang, Y Wang… - Neuroinformatics, 2018 - Springer
Accurate and early diagnosis of Alzheimer's disease (AD) plays important role for patient
care and development of future treatment. Structural and functional neuroimages, such as …

Brain MRI analysis for Alzheimer's disease diagnosis using CNN-based feature extraction and machine learning

D AlSaeed, SF Omar - Sensors, 2022 - mdpi.com
Alzheimer's disease is the most common form of dementia and the fifth-leading cause of
death among people over the age of 65. In addition, based on official records, cases of …

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 …

An intelligent Alzheimer's disease diagnosis method using unsupervised feature learning

F Razavi, MJ Tarokh, M Alborzi - Journal of Big Data, 2019 - Springer
Today, the diagnosis of Alzheimer's disease (AD) or mild cognitive impairment (MCI) has
attracted the attention of researchers in this field owing to the increase in the occurrence of …

Early diagnosis of Alzheimer's disease using deep learning

H Ji, Z Liu, WQ Yan, R Klette - … of the 2nd international conference on …, 2019 - dl.acm.org
Alzheimer's disease (AD) leads to memory loss and impairment, which may cause further
symptoms. It affects lives of patients seriously and is not curable, but early confirmation of AD …

Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction

B Ljubic, S Roychoudhury, XH Cao, M Pavlovski… - Computer methods and …, 2020 - Elsevier
Background and objective Alzheimer's disease (AD) is the most common type of dementia
that can seriously affect a person's ability to perform daily activities. Estimates indicate that …