[HTML][HTML] Deep learning techniques for automated Alzheimer's and mild cognitive impairment disease using EEG signals: A comprehensive review of the last decade …
Abstract Background and Objectives Mild Cognitive Impairment (MCI) and Alzheimer's
Disease (AD) are progressive neurological disorders that significantly impair the cognitive …
Disease (AD) are progressive neurological disorders that significantly impair the cognitive …
Alzheimer's Disease MRI Classification using EfficientNet: A Deep Learning Model
M Aborokbah - 2024 4th International Conference on Applied …, 2024 - ieeexplore.ieee.org
The most common form of dementia, Alzheimer's disease (AD) ranks sixth in terms of fatality
for people 65 years of age and older. Additionally, according to official statistics, the number …
for people 65 years of age and older. Additionally, according to official statistics, the number …
Brain Tumor Detection based on Multiple Deep Learning Models for MRI Images
GD Kumar, SN Mohanty - EAI Endorsed Transactions on …, 2024 - publications.eai.eu
INTRODUCTION: Medical imaging techniques are used to analyze the inner workings of the
human body. In today's scientific world, medical image analysis is the most demanding and …
human body. In today's scientific world, medical image analysis is the most demanding and …
State-of-the-Art techniques in Alzheimer's Disease prediction and classification: A Comprehensive Review
Alzheimer's disease (AD) is an incurable neurodegenerative state that leads to decrease in
cognitive function, including loss of memory, abnormal behaviour, and language …
cognitive function, including loss of memory, abnormal behaviour, and language …
Alzheimer's Disease Detection using Deep Learning Algorithm
Alzheimer's disease is a neurological disorder. Research on early detection and
classification using machine learning techniques has become essential in recent years. This …
classification using machine learning techniques has become essential in recent years. This …
Empowering Diagnosis Techniques: Deep Learning in Oral Cancer Detection
S Raghavendra, PK MJ - 2024 Second International …, 2024 - ieeexplore.ieee.org
A complex problem, oral cancer affects people all over the world. In India, for example,
eighth most common type of cancer and takes 130,000 lives yearly. Diagnoses can be …
eighth most common type of cancer and takes 130,000 lives yearly. Diagnoses can be …
A Review on Alzheimer's Disease Classification Using Deep Learning
MM Abdulqadir - The Indonesian Journal of Computer Science, 2024 - ijcs.net
In recent years, there has been a substantial amount of research dedicated to using Deep
Learning (DL) methods for the classification of Alzheimer's disease (AD) and other related …
Learning (DL) methods for the classification of Alzheimer's disease (AD) and other related …
A Comparative Study on Hybrid Machine Learning Voting Classifier Models for Alzheimer's Disease Prediction
GV Moodely, SMIH Amiree, M Thazin… - … for Innovations in …, 2023 - ieeexplore.ieee.org
Alzheimer's dementia, a neurological disease that affects millions of people worldwide, is a
huge public health problem. It is critical to develop accurate prediction models since early …
huge public health problem. It is critical to develop accurate prediction models since early …
A BRIEF OVERVIEW OF DEEP LEARNING'S POTENTIAL FOR MRI IMAGE BASED ALZHEIMER'S DISEASE PREDICTION.
S Karpagam, BR Jeetha - International Journal of Advanced …, 2024 - search.ebscohost.com
Cognitive capacities gradually deteriorate with the onset of Alzheimer's Disease (AD), an
irreversible neurological disease. As the disease progresses, it gradually robs people of …
irreversible neurological disease. As the disease progresses, it gradually robs people of …
Multi Disease Detection And Diagnosis Through Ensemble Learning
KP Athira, M Mohan - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Health Cure is a groundbreaking medical initiative aimed at revolutionizing early disease
detection through the integration of advanced medical technology and sophisticated …
detection through the integration of advanced medical technology and sophisticated …