A deep learning framework for early diagnosis of Alzheimer's disease on MRI images
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 …
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
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 …
offering unprecedented opportunities for the diagnosis and treatment of neurological …
Utilizing Siamese 4D-AlzNet and Transfer Learning to Identify Stages of Alzheimer's Disease
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 …
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 …
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
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 …
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 …
making it the second biggest cause of death worldwide after cardiovascular disease …
Multimodal diagnosis of Alzheimer's disease based on volumetric and cognitive assessments
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 …
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 …
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 …
diagnosis and non-invasive patient examination accuracy. The use of the fundamental …
Enhancing Mild Cognitive Impairment Detection through Efficient Magnetic Resonance Image Analysis
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 …
Alzheimer's disease (AD). Mild cognitive impairment (MCI) is a condition that falls between …