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 …

Brain MRI analysis for Alzheimer's disease diagnosis using an ensemble system of deep convolutional neural networks

J Islam, Y Zhang - Brain informatics, 2018 - Springer
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 …

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 …

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 …

Novel Deep-Learning Approach for Automatic Diagnosis of Alzheimer's Disease from MRI

O Altwijri, R Alanazi, A Aleid, K Alhussaini, Z Aloqalaa… - Applied Sciences, 2023 - mdpi.com
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 …

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 …

3D CNN-based classification using sMRI and MD-DTI images for Alzheimer disease studies

A Khvostikov, K Aderghal, J Benois-Pineau… - arXiv preprint arXiv …, 2018 - arxiv.org
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 …

Deep learning-based diagnosis of Alzheimer's disease using brain magnetic resonance images: An empirical study

JS Kim, JW Han, JB Bae, DG Moon, J Shin, JE Kong… - Scientific Reports, 2022 - nature.com
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 …

Comparative Analysis of Deep Learning Models for Multiclass Alzheimer's Disease Classification

R Agarwal, AS Sathwik, D Godavarthi… - … on Pervasive Health …, 2023 - publications.eai.eu
INTRODUCTION: The terrible neurological condition is known Worldwide; millions of
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 …