A deep learning framework for early diagnosis of Alzheimer's disease on MRI images

DA Arafa, HED Moustafa, HA Ali, AMT Ali-Eldin… - Multimedia Tools and …, 2024 - Springer
Numerous medical studies have shown that Alzheimer's disease (AD) was present decades
before the clinical diagnosis of dementia. As a result of the development of these studies …

Progress and Trends in Neurological Disorders Research Based on Deep Learning

MS Iqbal, MBB Heyat, S Parveen, MAB Hayat… - … Medical Imaging and …, 2024 - Elsevier
In recent years, deep learning (DL) has emerged as a powerful tool in clinical imaging,
offering unprecedented opportunities for the diagnosis and treatment of neurological …

Utilizing Siamese 4D-AlzNet and Transfer Learning to Identify Stages of Alzheimer's Disease

A Mehmood, F Shahid, R Khan, MM Ibrahim, Z Zheng - Neuroscience, 2024 - Elsevier
Alzheimer's disease (AD) is the general form of dementia, leading to a progressive
neurological disorder characterized by memory loss due to brain cell damage. Artificial …

A systematic literature review of machine learning approaches for class-wise recognition of Alzheimer's disease using neuroimaging-based brain disorder analysis

S Almatrafi, Q Abbas, MEA Ibrahim - Multimedia Tools and Applications, 2024 - Springer
Particularly in the field of computer vision, Deep Learning (DL) models have demonstrated
superior performance over classical Machine Learning (ML) at recognizing patterns in …

Utilizing 3D magnetic source imaging with landmark-based features and multi-classification for Alzheimer's Disease diagnosis

A Al-Rahayfeh, S Atiewi, M Almiani, M Jararweh… - Cluster …, 2024 - Springer
Improvements in medical imaging have accelerated the rise of computerized healthcare.
Namely, Magnetic Resource Imaging (MRI) has been shown to be a reliable method for …

Smart Health Care Management System for Diagnosis of Lungs Cancer

A Abugabah, F Shahid, A Alafeef… - … on Ubiquitous and …, 2023 - ieeexplore.ieee.org
Lung cancer has a mortality rate that is significantly greater than other forms of cancer,
making it the second biggest cause of death worldwide after cardiovascular disease …

Multimodal diagnosis of Alzheimer's disease based on volumetric and cognitive assessments

R Kumari, S Das, A Nigam, RK Singh - Multimedia Tools and Applications, 2024 - Springer
Alzheimer's Disease (AD) is the most prevalent form of dementia, severely impacting
memory functions. Early classification of AD patients, distinguishing them from those with …

Clinical Informatics System to Understand Lung Cancer Using Transfer Learning-Based Computer-Aided Application

A Abugabah, A Mehmood… - 2023 7th International …, 2023 - ieeexplore.ieee.org
Lung cancer is the second leading cause of death worldwide after cardiovascular disease.
Due to late diagnosis, lung cancer patients have an extremely low survival rate when …

Deep and hand-crafted features based on Weierstrass elliptic function for MRI brain tumor classification

I Aldawish, HA Jalab - Journal of Intelligent Systems, 2024 - degruyter.com
Advances in medical imaging and artificial intelligence have led to improvements in
diagnosis and non-invasive patient examination accuracy. The use of the fundamental …

Enhancing Mild Cognitive Impairment Detection through Efficient Magnetic Resonance Image Analysis

A Mehmood, Z Zheng, R Khan, AA Smadi, F Shahid… - 2024 - digitallibrary.aau.ac.ae
Neuroimaging has emerged over the last few decades as a crucial tool in diagnosing
Alzheimer's disease (AD). Mild cognitive impairment (MCI) is a condition that falls between …