Alzheimer’s disease classification using attention mechanism and global average pooling on a convolutional neural network

Alzheimer’s disease classification using attention mechanism and global average pooling on a convolutional neural network

The robustness of Convolutional Neural Network (CNN) architecture as the innovative technology has led to the surge of research adoption for Alzheimer’s disease (AD) classification. CNN is replacing the conventional machine learning methods to assist and support experts in diagnosing AD. However, th...

Full description

Bibliographic Details
Main Author:	Abd. Hamid, Nur Amirah
Format:	Thesis
Language:	English
Published:	2022
Subjects:	T Technology (General)
Online Access:	http://eprints.utm.my/99688/1/NurAmirahAbdHamidMMJIIT2022.pdf

Similar Items

Incorporating attention mechanism in enhancing classification of Alzheimers disease
by: Abd. Hamid, Nur Amirah, et al.
Published: (2021)

A comparison between average and max-pooling in convolutional neural network for scoliosis classification
by: Sabri, Nurbaity, et al.
Published: (2020)

Global and pyramid convolutional neural network with hybrid attention mechanism for hyperspectral image classification
by: Linfeng Wu, et al.
Published: (2023-12-01)

Variable Convolution and Pooling Convolutional Neural Network for Text Sentiment Classification
by: Min Dong, et al.
Published: (2020-01-01)

Enhancing multi-stage classification of alzheimer's disease with attention mechanism
by: Wong, Pui Ching, et al.
Published: (2023)

GAPCNN with HyPar: Global Average Pooling convolutional neural network with novel NNLU activation function and HYBRID parallelism
by: Gousia Habib, et al.
Published: (2022-11-01)

Cerebral Micro-Bleed Detection Based on the Convolution Neural Network With Rank Based Average Pooling
by: Shuihua Wang, et al.
Published: (2017-01-01)

Image Classification of Alzheimer’s Disease Based on External-Attention Mechanism and Fully Convolutional Network
by: Mingfeng Jiang, et al.
Published: (2022-02-01)

Convolution Neural Networks and Self-Attention Learners for Alzheimer Dementia Diagnosis from Brain MRI
by: Pierluigi Carcagnì, et al.
Published: (2023-02-01)

Deep learning classification of biomedical text using convolutional neural network
by: Dollah, Rozilawati, et al.
Published: (2019)

Pruning Convolutional Neural Networks with an Attention Mechanism for Remote Sensing Image Classification
by: Shuo Zhang, et al.
Published: (2020-07-01)

Classification of plug seedling quality by improved convolutional neural network with an attention mechanism
by: Xinwu Du, et al.
Published: (2022-08-01)

Multi-view SoftPool attention convolutional networks for 3D model classification
by: Wenju Wang, et al.
Published: (2022-11-01)

An attention-augmented convolutional neural network with focal loss for mixed-type wafer defect classification
by: Batool, Uzma, et al.
Published: (2023)

Pneumonia Image Classification Using CNN with Max Pooling and Average Pooling
by: Annisa Fitria Nurjannah, et al.
Published: (2022-04-01)

Convolution and max pooling layer accelerator for convolutional neural network /
by: Goh, Jinn Chyn, 1993-, author 629465, et al.
Published: (2020)

Convolution and max pooling layer accelerator for convolutional neural network /
by: Goh, Jinn Chyn, 1993-, author 629465
Published: (2020)

Convolution and max pooling layer accelerator for convolutional neural network
by: Goh, Jinn Chyn
Published: (2020)

Electroencephalogram-Based Attention Level Classification Using Convolution Attention Memory Neural Network
by: Chean Khim Toa, et al.
Published: (2021-01-01)

Hyperspectral Image Classification Based on Superpixel Pooling Convolutional Neural Network with Transfer Learning
by: Fuding Xie, et al.
Published: (2021-03-01)

Deep Object-Centric Pooling in Convolutional Neural Network for Remote Sensing Scene Classification
by: Kunlun Qi, et al.
Published: (2021-01-01)

Convolution-Based Neural Attention With Applications to Sentiment Classification
by: Jiachen Du, et al.
Published: (2019-01-01)

RunPool: A Dynamic Pooling Layer for Convolution Neural Network
by: Huang Jin Jie, et al.
Published: (2020-01-01)

An Attention-Based Convolutional Neural Network for Acute Lymphoblastic Leukemia Classification
by: Muhammad Zakir Ullah, et al.
Published: (2021-11-01)

An Attention-Based Wavelet Convolution Neural Network for Epilepsy EEG Classification
by: Qi Xin, et al.
Published: (2022-01-01)

Deep Learning Implementation using Convolutional Neural Network for Alzheimer’s Classification
by: Adhigana Priyatama, et al.
Published: (2023-03-01)

Application of graph convolutional neural networks to Alzheimer's and Parkinson's disease classification
by: Goli, Haveesh
Published: (2021)

Neuroimaging modality fusion in Alzheimer's classification using convolutional neural networks.
by: Arjun Punjabi, et al.
Published: (2019-01-01)

Review of deep convolution neural network in image classification
by: Al-Saffar, Ahmed Ali Mohammed, et al.
Published: (2017)

Ascertaining speech emotion using attention-based convolutional neural network framework.
by: Arya, Ashima, et al.
Published: (2023)

Classification of Lung and Colon Cancer Histopathological Images Using Global Context Attention Based Convolutional Neural Network
by: Md. Al-Mamun Provath, et al.
Published: (2023-01-01)

Automatic Detection and Classification of Diabetic Retinopathy Using the Improved Pooling Function in the Convolution Neural Network
by: Usharani Bhimavarapu, et al.
Published: (2023-08-01)

A multi-scale pooling convolutional neural network for accurate steel surface defects classification
by: Guizhong Fu, et al.
Published: (2023-02-01)

Hyperspectral Remote Sensing Image Classification Based on Maximum Overlap Pooling Convolutional Neural Network
by: Chenming Li, et al.
Published: (2018-10-01)

A Spatial Pyramid Pooling-Based Deep Convolutional Neural Network for the Classification of Electrocardiogram Beats
by: Jia Li, et al.
Published: (2018-09-01)

Ship Classification Based on Attention Mechanism and Multi-Scale Convolutional Neural Network for Visible and Infrared Images
by: Yongmei Ren, et al.
Published: (2020-11-01)

Global Convolutional Neural Networks With Self-Attention for Fisheye Image Rectification
by: Byunghyun Kim, et al.
Published: (2022-01-01)

A improved pooling method for convolutional neural networks
by: Lei Zhao, et al.
Published: (2024-01-01)

A Comparison of Pooling Methods for Convolutional Neural Networks
by: Afia Zafar, et al.
Published: (2022-08-01)

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