Capsule networks for computer vision applications: a comprehensive review

S Choudhary, S Saurav, R Saini, S Singh - Applied Intelligence, 2023 - Springer
Convolutional neural networks (CNNs) have achieved human-level performance in various
computer vision tasks, such as image classification, object detection & segmentation, etc …

Dad-net: Classification of alzheimer's disease using adasyn oversampling technique and optimized neural network

G Ahmed, MJ Er, MMS Fareed, S Zikria, S Mahmood… - Molecules, 2022 - mdpi.com
Alzheimer's Disease (AD) is a neurological brain disorder that causes dementia and
neurological dysfunction, affecting memory, behavior, and cognition. Deep Learning (DL), a …

Comprehensive Systematic Computation on Alzheimer's Disease Classification

P Upadhyay, P Tomar, SP Yadav - Archives of Computational Methods in …, 2024 - Springer
Alzheimer's disease (AD) is a degenerative neurological ailment that progressively affects a
large number of individuals globally. Timely and precise diagnosis of this ailment is crucial …

ADD-Net: an effective deep learning model for early detection of Alzheimer disease in MRI scans

MMS Fareed, S Zikria, G Ahmed, S Mahmood… - IEEE …, 2022 - ieeexplore.ieee.org
Alzheimer's Disease (AD) is a neurological brain disorder marked by dementia and
neurological dysfunction that affects memory, behavioral patterns, and reasoning …

Enhanced Alzheimer's disease classification using multilayer deep convolutional neural network-based experimentations

SA Kumar, S Sasikala - Iranian Journal of Science and Technology …, 2023 - Springer
Alzheimer's disease (AD) is an advanced neurological disorder and the main cause of
dementia in the elderly. Early detection of AD is critical for preventing brain damage and …

Detection of Alzheimer's Disease using Deep Learning: An Optimized Approach

G Ahmed, MJ Er, S Zikria… - 2023 6th International …, 2023 - ieeexplore.ieee.org
This paper suggests a new CNN that requires just a few parameters to diagnose AD and is
perfect for training on smaller datasets. Compared to existing state-of-the-art models, the …

Improved Alzheimer Detection using Image Enhancement Techniques and Transfer Learning

G Chutani, H Bohra, D Diwan… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
Alzheimer Disease [AD] is a neuro-degenerative disease which, supported by its
'progressive nature'causes loss of function of neurons. Despite substantial research on the …

A Hybrid Transfer Learning Assisted Decision Support System for Accurate Prediction of Alzheimer Disease

MK Mahadi, A Abdullah, J Uddin, A Newaz - arXiv preprint arXiv …, 2023 - arxiv.org
Alzheimer's disease (AD) is the most common long-term illness in elderly people. In recent
years, deep learning has become popular in the area of medical imaging and has had a lot …

Prediction and Classification of Alzheimer's Disease using Deep Learning

M Jagadeeswari, SP Priya, K Athira… - … on Electronics and …, 2022 - ieeexplore.ieee.org
The goal of this study is to predict the different stages of Alzheimer's using deep learning
which is a cutting edge machine learning technique. Alzheimer is a neurodegenerative …

Comprehensive Review of Capsule Networks with a Case Study on Potato Leaf Disease Detection Using CapsNet and Attention Mechanism

R Shenbaga Moorthy, KS Arikumar, SB Prathiba… - … on Intelligent Informatics, 2023 - Springer
Accurate solutions are needed for a variety of computer vision applications, including
medical imaging, object detection, and recognition. Such complicated challenges are …