Comprehensive review on twin support vector machines
Twin support vector machine (TWSVM) and twin support vector regression (TSVR) are newly
emerging efficient machine learning techniques which offer promising solutions for …
emerging efficient machine learning techniques which offer promising solutions for …
Machine learning techniques for the diagnosis of Alzheimer's disease: A review
Alzheimer's disease is an incurable neurodegenerative disease primarily affecting the
elderly population. Efficient automated techniques are needed for early diagnosis of …
elderly population. Efficient automated techniques are needed for early diagnosis of …
Deep learning-based diagnosis of Alzheimer's disease
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 …
healthcare. Around 5.5 million people aged 65 and above have AD, and it is the sixth …
FDN-ADNet: Fuzzy LS-TWSVM based deep learning network for prognosis of the Alzheimer's disease using the sagittal plane of MRI scans
Alzheimer's disease (AD) is the most pervasive form of dementia, resulting in severe
psychosocial effects such as affecting personality, reasoning, emotions, and memory …
psychosocial effects such as affecting personality, reasoning, emotions, and memory …
A review on Alzheimer's disease classification from normal controls and mild cognitive impairment using structural MR images
Alzheimer's disease (AD) is an irreversible neurodegenerative brain disorder that degrades
the memory and cognitive ability in elderly people. The main reason for memory loss and …
the memory and cognitive ability in elderly people. The main reason for memory loss and …
[HTML][HTML] An improved multi-modal based machine learning approach for the prognosis of Alzheimer's disease
Alzheimer's disease (AD) is the most common type of neurological disorder that leads to the
brain's cell death overtime. It is one of the major important causes of memory loss and …
brain's cell death overtime. It is one of the major important causes of memory loss and …
MRI radiomics classification and prediction in Alzheimer's disease and mild cognitive impairment: a review
Q Feng, Z Ding - Current Alzheimer Research, 2020 - ingentaconnect.com
Background: Alzheimer's Disease (AD) is a progressive neurodegenerative disease that
threatens the health of the elderly. Mild Cognitive Impairment (MCI) is considered to be the …
threatens the health of the elderly. Mild Cognitive Impairment (MCI) is considered to be the …
Automated prediction system for Alzheimer detection based on deep residual autoencoder and support vector machine
Alzheimer's disease (AD) is a type of neurological disorder and is a most frequent cause of
dementia across the world. The area of medical imaging has created an advancement in …
dementia across the world. The area of medical imaging has created an advancement in …
3d Convolutional neural networks for diagnosis of alzheimer's disease via structural mri
Alzheimer's Disease (AD) is a widespread neurodegenerative disease caused by structural
changes in the brain and leads to deterioration of cognitive functions. Patients usually …
changes in the brain and leads to deterioration of cognitive functions. Patients usually …
A survey on classification algorithms of brain images in Alzheimer's disease based on feature extraction techniques
Alzheimer's disease (AD) is one of the most serious neurological disorders for elderly
people. AD affected patient experiences severe memory loss. One of the main reasons for …
people. AD affected patient experiences severe memory loss. One of the main reasons for …