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 …
progressive decline in cognitive abilities. Since AD starts several years before the onset of …
Abnormal white matter changes in Alzheimer's disease based on diffusion tensor imaging: A systematic review
Y Chen, Y Wang, Z Song, Y Fan, T Gao… - Ageing Research Reviews, 2023 - Elsevier
Alzheimer's disease (AD) is a degenerative neurological disease in elderly individuals.
Subjective cognitive decline (SCD), mild cognitive impairment (MCI) and further …
Subjective cognitive decline (SCD), mild cognitive impairment (MCI) and further …
Transfer learning using freeze features for Alzheimer neurological disorder detection using ADNI dataset
S Naz, A Ashraf, A Zaib - Multimedia Systems, 2022 - Springer
Abstract Machine learning and deep learning play a crucial role in identification of various
diseases like neurological, skin, eyes, blood and cancers. The deep learning algorithms can …
diseases like neurological, skin, eyes, blood and cancers. The deep learning algorithms can …
Transformed domain convolutional neural network for Alzheimer's disease diagnosis using structural MRI
Structural magnetic resonance imaging (sMRI) has become a prevalent and potent imaging
modality for the computer-aided diagnosis (CAD) of neurological diseases like dementia …
modality for the computer-aided diagnosis (CAD) of neurological diseases like dementia …
Trustworthy artificial intelligence in Alzheimer's disease: state of the art, opportunities, and challenges
Abstract Medical applications of Artificial Intelligence (AI) have consistently shown
remarkable performance in providing medical professionals and patients with support for …
remarkable performance in providing medical professionals and patients with support for …
[HTML][HTML] Early-stage Alzheimer's disease categorization using PET neuroimaging modality and convolutional neural networks in the 2D and 3D domains
Alzheimer's Disease (AD) is a health apprehension of significant proportions that is
negatively impacting the ageing population globally. It is characterized by neuronal loss and …
negatively impacting the ageing population globally. It is characterized by neuronal loss and …
A novel explainable neural network for Alzheimer's disease diagnosis
Visual classification for medical images has been dominated by convolutional neural
networks (CNNs) for years. Though they have shown great performance on accuracy, some …
networks (CNNs) for years. Though they have shown great performance on accuracy, some …
[HTML][HTML] Alzheimer's disease diagnosis with brain structural mri using multiview-slice attention and 3D convolution neural network
Numerous artificial intelligence (AI) based approaches have been proposed for automatic
Alzheimer's disease (AD) prediction with brain structural magnetic resonance imaging …
Alzheimer's disease (AD) prediction with brain structural magnetic resonance imaging …
[HTML][HTML] Advancements in computer-assisted diagnosis of Alzheimer's disease: A comprehensive survey of neuroimaging methods and AI techniques for early …
Alzheimer's Disease (AD) is a brain disorder that causes the brain to shrink and eventually
causes brain cells to die. This neurological condition progressively hampers cognitive and …
causes brain cells to die. This neurological condition progressively hampers cognitive and …
A review of deep transfer learning approaches for class-wise prediction of Alzheimer's disease using MRI images
Alzheimer's disease is an irreversible, progressive neurodegenerative disorder that destroys
the brain and memory functionalities. In Alzheimer's disease, the brain starts shrinking, and …
the brain and memory functionalities. In Alzheimer's disease, the brain starts shrinking, and …