Artificial intelligence-based diagnosis of Alzheimer's disease with brain MRI images
Z Yao, H Wang, W Yan, Z Wang, W Zhang… - European Journal of …, 2023 - Elsevier
Alzheimer's disease, a primary neurodegenerative condition, predominantly impacts the
elderly and pre-elderly population. This progressive neurological disorder is characterized …
elderly and pre-elderly population. This progressive neurological disorder is characterized …
Brain MRI analysis for Alzheimer's disease diagnosis using an ensemble system of deep convolutional neural networks
Alzheimer's disease is an incurable, progressive neurological brain disorder. Earlier
detection of Alzheimer's disease can help with proper treatment and prevent brain tissue …
detection of Alzheimer's disease can help with proper treatment and prevent brain tissue …
Deep learning based pipelines for Alzheimer's disease diagnosis: a comparative study and a novel deep-ensemble method
A Loddo, S Buttau, C Di Ruberto - Computers in biology and medicine, 2022 - Elsevier
Background Alzheimer's disease is a chronic neurodegenerative disease that destroys brain
cells, causing irreversible degeneration of cognitive functions and dementia. Its causes are …
cells, causing irreversible degeneration of cognitive functions and dementia. Its causes are …
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 …
Novel Deep-Learning Approach for Automatic Diagnosis of Alzheimer's Disease from MRI
This study introduces a novel deep-learning methodology that is customized to automatically
diagnose Alzheimer's disease (AD) through the analysis of MRI datasets. The process of …
diagnose Alzheimer's disease (AD) through the analysis of MRI datasets. The process of …
Deep transfer learning–based fully automated detection and classification of Alzheimer's disease on brain MRI
H Ghaffari, H Tavakoli… - The British journal of …, 2022 - academic.oup.com
Objectives: To employ different automated convolutional neural network (CNN)-based
transfer learning (TL) methods for both binary and multiclass classification of Alzheimer's …
transfer learning (TL) methods for both binary and multiclass classification of Alzheimer's …
3D CNN-based classification using sMRI and MD-DTI images for Alzheimer disease studies
Computer-aided early diagnosis of Alzheimers Disease (AD) and its prodromal form, Mild
Cognitive Impairment (MCI), has been the subject of extensive research in recent years …
Cognitive Impairment (MCI), has been the subject of extensive research in recent years …
Deep learning-based diagnosis of Alzheimer's disease using brain magnetic resonance images: An empirical study
The limited accessibility of medical specialists for Alzheimer's disease (AD) can make
obtaining an accurate diagnosis in a timely manner challenging and may influence …
obtaining an accurate diagnosis in a timely manner challenging and may influence …
Comparative Analysis of Deep Learning Models for Multiclass Alzheimer's Disease Classification
INTRODUCTION: The terrible neurological condition is known Worldwide; millions of
individuals are affected with Alzheimer's disease (AD). Effective treatment and management …
individuals are affected with Alzheimer's disease (AD). Effective treatment and management …
Diagnostic performance of magnetic resonance imaging–based machine learning in Alzheimer's disease detection: A meta-analysis
J Hu, Y Wang, D Guo, Z Qu, C Sui, G He, S Wang… - Neuroradiology, 2023 - Springer
Purpose Advanced machine learning (ML) algorithms can assist rapid medical image
recognition and realize automatic, efficient, noninvasive, and convenient diagnosis. We aim …
recognition and realize automatic, efficient, noninvasive, and convenient diagnosis. We aim …