Natural product-based nanomedicine: Recent advances and issues for the treatment of Alzheimer's disease
Alzheimer's disease (AD) affects the elderly and is characterized by progressive
neurodegeneration caused by different pathologies. The most significant challenges in …
neurodegeneration caused by different pathologies. The most significant challenges in …
Evaluation of Deep Learning Models on Alzheimer's MRI Dataset: AD-VGG16, AD-Resnet50, and AD-2DCNN
LM Elnaghi, YM Eltariny - 2024 6th International Conference on …, 2024 - ieeexplore.ieee.org
Alzheimer's disease accounts for 60-70% of instances of dementia. It is a neurological
illness that often begins slowly, progresses, and worsens over time. The most typical early …
illness that often begins slowly, progresses, and worsens over time. The most typical early …
[PDF][PDF] Brain MR Images Classification for Alzheimer's Disease
IA Abdulmunem - Iraqi Journal of Science, 2022 - iasj.net
Alzheimer's Disease (AD) is the most prevailing type of dementia. The prevalence of AD is
estimated to be around 5% after 65 years old and is staggering 30% for more than 85 years …
estimated to be around 5% after 65 years old and is staggering 30% for more than 85 years …
[PDF][PDF] Deep and statistical-based methods for alzheimer's disease detection: A survey
Detection of Alzheimer's disease (AD) is one of the most potent and daunting activities in the
processing of medical imagery. The survey of recent AD detection techniques in the last 10 …
processing of medical imagery. The survey of recent AD detection techniques in the last 10 …
[PDF][PDF] MR images classification of Alzheimer's disease based on deep belief network method
SA Al-Majeed, MSH Al-Tamimi - Int. J. Adv. Sci. Technol, 2020 - researchgate.net
Abstract Background/Objectives: The purpose of this study was to classify Alzheimer's
disease (AD) patients from Normal Control (NC) patients using Magnetic Resonance …
disease (AD) patients from Normal Control (NC) patients using Magnetic Resonance …
[PDF][PDF] Intelligent Prediction of Breast Cancer: A Comparative Study.
MA Abd-Elrazek, AA Othman… - Egyptian Computer …, 2018 - ecsjournal.org
Breast cancer is defined as the growth of breast tissue in abnormal way that performing
tumors. Breast cancer is one of the most spreading cancer between women and may …
tumors. Breast cancer is one of the most spreading cancer between women and may …
Nonlinear Feature Extraction Methods Based on Dual-Tree Complex Wavelet Transform Subimages of Brain Magnetic Resonance Imaging for the Classification of …
A Bazdar, A Hatamian, J Ostadieh… - Journal of Medical …, 2023 - journals.lww.com
It has been a long time since we use magnetic resonance imaging (MRI) to detect brain
diseases and many useful techniques have been developed for this task. However, there is …
diseases and many useful techniques have been developed for this task. However, there is …
Medical Imaging-based Techniques for Alzheimer's Disease Detection: A Survey
Alzheimer's disease (AD) detection corresponds one of the most powerful and challenging
tasks in medical imaging processing. This paper describes the survey of recent AD detection …
tasks in medical imaging processing. This paper describes the survey of recent AD detection …
Efficient Algorithm for Distinction Mild Cognitive Impairment from Alzheimer's Disease Based on Specific View FCM White Matter Segmentation and Ensemble …
SA Irandoost, FSM Saryazdi - Frontiers in …, 2023 - publish.kne-publishing.com
Purpose: Alzheimer's Disease (AD) is in the dementia group and is one of the most
prevalent neurodegenerative disorders. Approximately 50 million people were affected in …
prevalent neurodegenerative disorders. Approximately 50 million people were affected in …
Intelligent Algorithms for the Diagnosis of Alzheimer's Disease
SA Soliman, RR Hussein… - … Smart Healthcare and …, 2020 - taylorfrancis.com
The detection of early morphological changes in the brain and early diagnosis of
Alzheimer's disease (AD) are important in the field of healthcare. It is possible to use high …
Alzheimer's disease (AD) are important in the field of healthcare. It is possible to use high …