Structural magnetic resonance imaging for the early diagnosis of dementia due to Alzheimer's disease in people with mild cognitive impairment
G Lombardi, G Crescioli, E Cavedo… - Cochrane Database …, 2020 - cochranelibrary.com
Background Mild cognitive impairment (MCI) due to Alzheimer's disease is the symptomatic
predementia phase of Alzheimer's disease dementia, characterised by cognitive and …
predementia phase of Alzheimer's disease dementia, characterised by cognitive and …
Anomaly-based intrusion detection system for IoT application
Abstract Internet-of-Things (IoT) connects various physical objects through the Internet and it
has a wide application, such as in transportation, military, healthcare, agriculture, and many …
has a wide application, such as in transportation, military, healthcare, agriculture, and many …
Searching for prostate cancer by fully automated magnetic resonance imaging classification: deep learning versus non-deep learning
Prostate cancer (PCa) is a major cause of death since ancient time documented in Egyptian
Ptolemaic mummy imaging. PCa detection is critical to personalized medicine and varies …
Ptolemaic mummy imaging. PCa detection is critical to personalized medicine and varies …
Denouements of machine learning and multimodal diagnostic classification of Alzheimer's disease
Alzheimer's disease (AD) is the most common type of dementia. The exact cause and
treatment of the disease are still unknown. Different neuroimaging modalities, such as …
treatment of the disease are still unknown. Different neuroimaging modalities, such as …
Prediction and classification of Alzheimer's disease based on combined features from apolipoprotein-E genotype, cerebrospinal fluid, MR, and FDG-PET imaging …
Alzheimer's disease (AD), including its mild cognitive impairment (MCI) phase that may or
may not progress into the AD, is the most ordinary form of dementia. It is extremely important …
may not progress into the AD, is the most ordinary form of dementia. It is extremely important …
A data augmentation-based framework to handle class imbalance problem for Alzheimer's stage detection
Alzheimer's Disease (AD) is the most common form of dementia. It gradually increases from
mild stage to severe, affecting the ability to perform common daily tasks without assistance. It …
mild stage to severe, affecting the ability to perform common daily tasks without assistance. It …
Multi-class Alzheimer's disease classification using image and clinical features
Alzheimer's disease (AD) is the most common form of dementia, which results in memory
related issues in subjects. An accurate detection and classification of AD alongside its …
related issues in subjects. An accurate detection and classification of AD alongside its …
Deep belief networks (DBN) with IoT-based alzheimer's disease detection and classification
Dementias that develop in older people test the limits of modern medicine. As far as
dementia in older people goes, Alzheimer's disease (AD) is by far the most prevalent form …
dementia in older people goes, Alzheimer's disease (AD) is by far the most prevalent form …
Early diagnosis of Alzheimer's disease using combined features from voxel-based morphometry and cortical, subcortical, and hippocampus regions of MRI T1 brain …
In recent years, several high-dimensional, accurate, and effective classification methods
have been proposed for the automatic discrimination of the subject between Alzheimer's …
have been proposed for the automatic discrimination of the subject between Alzheimer's …
Alzheimer's disease diagnosis using machine learning: a survey
OA Dara, JM Lopez-Guede, HI Raheem, J Rahebi… - Applied Sciences, 2023 - mdpi.com
Alzheimer's is a neurodegenerative disorder affecting the central nervous system and
cognitive processes, explicitly impairing detailed mental analysis. Throughout this condition …
cognitive processes, explicitly impairing detailed mental analysis. Throughout this condition …