Machine learning and deep learning approaches for brain disease diagnosis: principles and recent advances
Brain is the controlling center of our body. With the advent of time, newer and newer brain
diseases are being discovered. Thus, because of the variability of brain diseases, existing …
diseases are being discovered. Thus, because of the variability of brain diseases, existing …
Deep learning for neurodegenerative disorder (2016 to 2022): A systematic review
J Chaki, M Woźniak - Biomedical Signal Processing and Control, 2023 - Elsevier
A neurodegenerative disorder, such as Parkinson's, Alzheimer's, epilepsy, stroke, and
others, is a type of disease in which central nervous system cells stop working or die …
others, is a type of disease in which central nervous system cells stop working or die …
A comprehensive survey on the detection, classification, and challenges of neurological disorders
Simple Summary This study represents a resourceful review article that can deliver
resources on neurological diseases and their implemented classification algorithms to …
resources on neurological diseases and their implemented classification algorithms to …
Prevalence and diagnosis of neurological disorders using different deep learning techniques: a meta-analysis
This paper dispenses an exhaustive review on deep learning techniques used in the
prognosis of eight different neuropsychiatric and neurological disorders such as stroke …
prognosis of eight different neuropsychiatric and neurological disorders such as stroke …
Machine learning techniques for diagnosis of alzheimer disease, mild cognitive disorder, and other types of dementia
Alzheimer's disease (AD) is one of the most common form of dementia which mostly affects
elderly people. AD identification in early stages is a difficult task in medical practice and …
elderly people. AD identification in early stages is a difficult task in medical practice and …
A CNN model: earlier diagnosis and classification of Alzheimer disease using MRI
AW Salehi, P Baglat, BB Sharma… - … on Smart Electronics …, 2020 - ieeexplore.ieee.org
Alzheimer's Disease (AD) is the most common form of dementia that can lead to a
neurological brain disorder that causes progressive memory loss as a result of damaging …
neurological brain disorder that causes progressive memory loss as a result of damaging …
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 …
medical image processing. It acts as a vital aid for the radiologists in producing accurate …
[HTML][HTML] An Exploration: Alzheimer's disease classification based on convolutional neural network
Alzheimer's disease (AD) is the most generally known neurodegenerative disorder, leading
to a steady deterioration in cognitive ability. Deep learning models have shown outstanding …
to a steady deterioration in cognitive ability. Deep learning models have shown outstanding …
Alzheimer's diseases detection by using deep learning algorithms: a mini-review
S Al-Shoukry, TH Rassem, NM Makbol - IEEE Access, 2020 - ieeexplore.ieee.org
The accurate diagnosis of Alzheimer's disease (AD) plays an important role in patient
treatment, especially at the disease's early stages, because risk awareness allows the …
treatment, especially at the disease's early stages, because risk awareness allows the …
Machine learning for neurodegenerative disorder diagnosis—survey of practices and launch of benchmark dataset
Neurodegenerative disorders, such as Alzheimer's and Parkinson's, constitute a major factor
in long-term disability and are becoming more and more a serious concern in developed …
in long-term disability and are becoming more and more a serious concern in developed …