Alzheimer’s disease diagnosis via 5-layer Convolutional Neural Network and Data Augmentation

Alzheimer’s disease diagnosis via 5-layer Convolutional Neural Network and Data Augmentation

OBJECTIVES: Alzheimer's disease (AD) is a progressive neurodegenerative disease with insidious onset and one of the biggest challenges in geriatrics. Because the cause of the disease is unknown and there is currently no cure, AD Early diagnosis is particularly important. METHODS: In this pape...

Full description

Bibliographic Details
Main Author:	Shuangshuang Gao
Format:	Article
Language:	English
Published:	European Alliance for Innovation (EAI) 2021-09-01
Series:	EAI Endorsed Transactions on e-Learning
Subjects:	Alzheimer’s disease Convolutional neural network Data augmentation Batch normalization Dropout
Online Access:	https://publications.eai.eu/index.php/el/article/view/1720

Similar Items

Six-layer Optimized Convolutional Neural Network for Lip Language Identification
by: Yifei Qiao, et al.
Published: (2021-08-01)

Multiple Sclerosis Identification by 14-Layer Convolutional Neural Network With Batch Normalization, Dropout, and Stochastic Pooling
by: Shui-Hua Wang, et al.
Published: (2018-11-01)

A Deep Siamese Convolution Neural Network for Multi-Class Classification of Alzheimer Disease
by: Atif Mehmood, et al.
Published: (2020-02-01)

Traffic sign recognition using convolutional neural networks / Kelio ženklų atpažinimas naudojant neuroninį tinklą
by: Ervin Miloš, et al.
Published: (2018-12-01)

Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts
by: Rami Ahmed, et al.
Published: (2021-03-01)

The Effect of Layer Batch Normalization and Droupout of CNN model Performance on Facial Expression Classification
by: - Norhikmah, et al.
Published: (2022-08-01)

Chinese fingerspelling sign language recognition using a nine-layer convolutional neural network
by: Ya Gao, et al.
Published: (2021-02-01)

The Neural Network of One-Dimensional Convolution-An Example of the Diagnosis of Diabetic Retinopathy
by: Yunlei Sun
Published: (2019-01-01)

NROI based feature learning for automated tumor stage classification of pulmonary lung nodules using deep convolutional neural networks
by: Supriya Suresh, et al.
Published: (2022-05-01)

FocusedDropout for Convolutional Neural Network
by: Minghui Liu, et al.
Published: (2022-07-01)

A Fault Diagnosis Method of Rotating Machinery Based on One-Dimensional, Self-Normalizing Convolutional Neural Networks
by: Jingli Yang, et al.
Published: (2020-07-01)

Reconstruction and Localization of Tumors in Breast Optical Imaging via Convolution Neural Network Based on Batch Normalization Layers
by: Nazish Murad, et al.
Published: (2022-01-01)

Lost-minimum post-training parameter quantization method for convolutional neural network
by: Fan ZHANG, et al.
Published: (2022-04-01)

Lost-minimum post-training parameter quantization method for convolutional neural network
by: Fan ZHANG, et al.
Published: (2022-04-01)

Selected technical issues of deep neural networks for image classification purposes
by: M. Grochowski, et al.
Published: (2019-04-01)

Convolutional Neural Network Utilizing Error-Correcting Output Codes Support Vector Machine for Classification of Non-Severe Traumatic Brain Injury From Electroencephalogram Signal
by: Chi Qin Lai, et al.
Published: (2021-01-01)

GDnet-IP: Grouped Dropout-Based Convolutional Neural Network for Insect Pest Recognition
by: Dongcheng Li, et al.
Published: (2024-10-01)

Power Quality Disturbance Classification Based on Compressed Sensing and Deep Convolution Neural Networks
by: Jidong Wang, et al.
Published: (2019-01-01)

Deep Convolutional Neural Network Regularization for Alcoholism Detection Using EEG Signals
by: Hamid Mukhtar, et al.
Published: (2021-08-01)

Ball Screw Fault Diagnosis Based on Wavelet Convolution Transfer Learning
by: Yifan Xie, et al.
Published: (2022-08-01)

A Novel Capsule Network Based on Wide Convolution and Multi-Scale Convolution for Fault Diagnosis
by: Yu Wang, et al.
Published: (2020-05-01)

Prediction of Back-splicing sites for CircRNA formation based on convolutional neural networks
by: Zhen Shen, et al.
Published: (2022-08-01)

Human face recognition based on convolutional neural network and augmented dataset
by: Peng Lu, et al.
Published: (2021-05-01)

Modified Convolutional Neural Network Based on Dropout and the Stochastic Gradient Descent Optimizer
by: Jing Yang, et al.
Published: (2018-03-01)

Multiple Sclerosis Detection via 6-layer Stochastic Pooling Convolutional Neural Network and Multiple-way Data Augmentation
by: Jian Wang, et al.
Published: (2021-09-01)

A Data Augmentation-Based Framework to Handle Class Imbalance Problem for Alzheimer’s Stage Detection
by: Sitara Afzal, et al.
Published: (2019-01-01)

Mixed-pooling-dropout for convolutional neural network regularization
by: Brahim Ait Skourt, et al.
Published: (2022-09-01)

Diagnosis of Alzheimer’s Disease with Ensemble Learning Classifier and 3D Convolutional Neural Network
by: Peng Zhang, et al.
Published: (2021-11-01)

Klasifikasi Penyakit pada Daun Anggur menggunakan Metode Convolutional Neural Network
by: Ken Ratri Wardani, et al.
Published: (2023-10-01)

Early Earthquake Detection Using Batch Normalization Graph Convolutional Neural Network (BNGCNN)
by: Muhammad Atif Bilal, et al.
Published: (2022-07-01)

Augmented Rice Plant Disease Detection with Convolutional Neural Networks
by: Hairani Hairani, et al.
Published: (2024-02-01)

Fusing Multimodal and Anatomical Volumes of Interest Features Using Convolutional Auto-Encoder and Convolutional Neural Networks for Alzheimer’s Disease Diagnosis
by: Mohammed Abdelaziz, et al.
Published: (2022-04-01)

Appropriateness of Dropout Layers and Allocation of Their 0.5 Rates across Convolutional Neural Networks for CIFAR-10, EEACL26, and NORB Datasets
by: Romanuke Vadim V.
Published: (2017-12-01)

Diagnosis of Patellofemoral Pain Syndrome Based on a Multi-Input Convolutional Neural Network With Data Augmentation
by: Wuxiang Shi, et al.
Published: (2021-02-01)

Short-Term Load Forecasting for a Single Household Based on Convolution Neural Networks Using Data Augmentation
by: Shree Krishna Acharya, et al.
Published: (2019-09-01)

BitFlow-Net: Toward Fully Binarized Convolutional Neural Networks
by: Lijun Wu, et al.
Published: (2019-01-01)

Recognition of Alzheimer’s Patients in Emotional States Based on the Optimal Convolutional Neural Network and Electroencephalography
by: Elham Askari, et al.
Published: (2023-09-01)

Effective Data Augmentation Techniques for Arabic Speech Emotion Recognition Using Convolutional Neural Networks
by: Wided Bouchelligua, et al.
Published: (2025-02-01)

LSTM Accelerator for Convolutional Object Identification
by: Alkiviadis Savvopoulos, et al.
Published: (2018-10-01)

Investigating Semantic Augmentation in Virtual Environments for Image Segmentation Using Convolutional Neural Networks
by: Joshua Ganter, et al.
Published: (2021-08-01)