Applying artificial intelligence techniques to improve clinical diagnosis of Alzheimer's disease

AA Farid, G Selim, H Khater - 2020 - preprints.org
Alzheimer's disease (AD) is a significant regular type of dementia that causes damage in
brain cells. Early detection of AD acting as an essential role in global health care due to …

Applying artificial intelligence techniques for prediction of neurodegenerative disorders: A comparative case-study on clinical tests and neuroimaging tests with …

AA Farid, G Selim, H Khater - 2020 - preprints.org
Alzheimer's disease (AD) detection acting as an essential role in global health care due to
misdiagnosis and sharing many clinical sets with other types of dementia, and costly …

Machine learning based diagnosis of Alzheimer's disease

M Karthiga, S Sountharrajan, SS Nandhini… - Image Processing and …, 2021 - Springer
Alzheimer's disease is the most dreadful. Despite the various Alzheimer's treatments
available nowadays, the survival rate of Alzheimer's patients is very much low. Detection of …

Early diagnosis of Alzheimer's disease using ACO optimized deep CNN classifier

S Singh, RR Janghel - … Intelligent Systems: Proceedings of ICUIS 2021, 2022 - Springer
Alzheimer's disease (AD) is a human brain disease that remains as a common cause of
dementia, which occurs mainly in middle-aged or grown-up individuals. AD results in …

Adaptive Weights Integrated Convolutional Neural Network for Alzheimer's Disease Diagnosis

X Wang, W Wang - Journal of Medical Imaging and Health …, 2020 - ingentaconnect.com
Magnetic resonance imaging (MRI) is a common medical imaging technique, which is not
harmful to the human body and is often used in the diagnosis of Alzheimer's disease (AD) …

Deep convolution neural network based system for early diagnosis of Alzheimer's disease

RR Janghel, YK Rathore - Irbm, 2021 - Elsevier
Abstract Objectives Alzheimer's Disease (AD) is the most general type of dementia. In all
leading countries, it is one of the primary reasons of death in senior citizens. Currently, it is …

A deeply supervised adaptable neural network for diagnosis and classification of Alzheimer's severity using multitask feature extraction

M Ahmadi, D Javaheri, M Khajavi, K Danesh, J Hur - Plos one, 2024 - journals.plos.org
Alzheimer's disease is the most prevalent form of dementia, which is a gradual condition that
begins with mild memory loss and progresses to difficulties communicating and responding …

Automatic Analysis of MRI Images for Early Prediction of Alzheimer's Disease Stages Based on Hybrid Features of CNN and Handcrafted Features

A Khalid, EM Senan, K Al-Wagih, MM Ali Al-Azzam… - Diagnostics, 2023 - mdpi.com
Alzheimer's disease (AD) is considered one of the challenges facing health care in the
modern century; until now, there has been no effective treatment to cure it, but there are …

BiLSTM-ANN: early diagnosis of Alzheimer's disease using hybrid deep learning algorithms

P Matlani - Multimedia Tools and Applications, 2024 - Springer
Alzheimer's disease (AD) is a progressive neurodegenerative disease that affects cognition,
behavior, and memory, eventually reaching a point where daily activities are impaired …

[PDF][PDF] Improved Classification Model using CNN for Detection of Alzheimer's Disease

R Davuluri, R Rengaswamy - J. Comput. Sci, 2022 - academia.edu
Alzheimer's Disease (AD) is commonly called a neurodegenerative disorder and it is a
common form of dementia. There is no permanent cure for this brain disease hence the early …