Classification of Alzheimer's disease structural MRI data by deep learning convolutional neural networks

S Sarraf, G Tofighi - arXiv preprint arXiv:1607.06583, 2016 - arxiv.org
Recently, machine learning techniques especially predictive modeling and pattern
recognition in biomedical sciences from drug delivery system to medical imaging has …

Classification of alzheimer's disease using fmri data and deep learning convolutional neural networks

S Sarraf, G Tofighi - arXiv preprint arXiv:1603.08631, 2016 - arxiv.org
Over the past decade, machine learning techniques especially predictive modeling and
pattern recognition in biomedical sciences from drug delivery system to medical imaging has …

Deep learning approach to diagnose Alzheimer's disease through magnetic resonance images

MF Ahmad, S Akbar, SAE Hassan… - 2021 International …, 2021 - ieeexplore.ieee.org
Alzheimer's disease (AD) is the disease that is neurodegenerative which causes 70 to 80%
of cases of dementia worldwide. Even though over the past few years' research on …

Classification of Alzheimer's disease using the Convolutional Neural Network (CNN) with transfer learning and weighted loss

MW Oktavian, N Yudistira, A Ridok - arXiv preprint arXiv:2207.01584, 2022 - arxiv.org
Alzheimer's disease is a progressive neurodegenerative disorder that gradually deprives the
patient of cognitive function and can end in death. With the advancement of technology …

mRMR‐based hybrid convolutional neural network model for classification of Alzheimer's disease on brain magnetic resonance images

Y Eroglu, M Yildirim, A Cinar - International Journal of Imaging …, 2022 - Wiley Online Library
Alzheimer's disease is a progressive neurodegenerative fatal disease characterized by a
decrease in mental functions. Although there is no definitive treatment for the disease, there …

Automated classification of Alzheimer's disease based on MRI image processing using convolutional neural network (CNN) with AlexNet architecture

YN Fu'adah, I Wijayanto, NKC Pratiwi… - Journal of physics …, 2021 - iopscience.iop.org
Alzheimer's disease is a type of brain disease that indicate with memory impairment as the
early symptoms. These symptoms occur because the nerve in the brain involved in learning …

An approach for classification of Alzheimer's disease using deep neural network and brain magnetic resonance imaging (MRI)

RA Hazarika, AK Maji, D Kandar, E Jasinska, P Krejci… - Electronics, 2023 - mdpi.com
Alzheimer's disease (AD) is a deadly cognitive condition in which people develop severe
dementia symptoms. Neurologists commonly use a series of physical and mental tests to …

[PDF][PDF] Alzheimer's disease diagnosis using deep learning techniques

AW Salehi, P Baglat, G Gupta - Int. J. Eng. Adv. Technol, 2020 - researchgate.net
Deep learning is one of the machine learning approach which has shown promising results
and performance as compare to traditional algorithms of machine learning in terms of high …

Comparative analysis of Alzheimer's disease classification by CDR level using CNN, feature selection, and machine‐learning techniques

B Khagi, GR Kwon, R Lama - International Journal of Imaging …, 2019 - Wiley Online Library
Magnetic resonance imaging (MRI) of brain needs an impeccable analysis to investigate all
its structure and pattern. This analysis may be a sharp visual analysis by an experienced …

Diagnosis and classification of Alzheimer's disease by using a convolution neural network algorithm

MH Al-Adhaileh - Soft Computing, 2022 - Springer
Alzheimer's disease (AD) is a high-risk and atrophic neurological illness that slowly and
gradually destroys brain cells (ie neurons). As the most common type of amentia, AD affects …