Cover Image

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

Saved in:

Bibliographic Details
Main Author:	Abd. Hamid, Nur Amirah
Format:	Thesis
Language:	English
Published:	2022
Subjects:	T Technology (General)
Online Access:	http://eprints.utm.my/id/eprint/99688/1/NurAmirahAbdHamidMMJIIT2022.pdf http://eprints.utm.my/id/eprint/99688/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:150833
Tags:	Add Tag No Tags, Be the first to tag this record!

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)

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

Early diagnosis of Alzheimer's disease using convolutional Neural Network-Based MRI
by: Kadhim, Karrar A., et al.
Published: (2023)

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

Skin Cancer Classification using Convolutional Neural Network with Autoregressive Integrated Moving Average
by: CHEE, KA CHIN, et al.
Published: (2021)

Skin Cancer Classification using Convolutional Neural Network with Autoregressive Integrated Moving Average
by: CHEE, KA CHIN, et al.
Published: (2021)

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

An attention-based convolutional neural network for intrusion detection model.
by: Wang, Zhen, et al.
Published: (2023)

A multilayered convolutional sparse coding framework for modeling of pooling operation of convolution neural networks
by: , Abdul Wahid, et al.
Published: (2019)

Optimization of crop disease classification using convolution neural network
by: Kit, Guan Lim, et al.
Published: (2021)

Development of hybrid convolutional neural network and autoregressive integrated moving average on computed tomography image classification
by: Abdulrazak Yahya, Saleh, et al.
Published: (2023)

Development of Hybrid Convolutional Neural Network and Auto-Regressive Integrated Moving Average for Skin Cancer Classification
by: KA CHIN, CHEE
Published: (2022)

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

Classification of breast cancer lesions in ultrasound images by using attention layer and loss ensemble in deep convolutional neural networks
by: Kalafi, Elham Yousef, et al.
Published: (2021)

Image‐based malware classification using VGG19 network and spatial convolutional attention
by: Awan, Mazhar Javed, et al.
Published: (2021)

CLASSIFICATION OF EMPHYSEMA USING CONVOLUTIONAL NEURAL NETWORK
by: IBRAHIM, NURUL AIDA RADHIAH
Published: (2017)

An optimized convolutional neural network for arrhythmia classification
by: Shan, Wei Chen
Published: (2022)

NSE-CATNet: deep neural speech enhancement using convolutional attention transformer network
by: Saleem, Nasir, et al.
Published: (2023)

Neural network-based echocardiogram video classification by incorporating dynamic information and attention mechanism
by: Ye, Zi
Published: (2022)

Evaluation of scratch and pre-trained convolutional neural networks for the classification of tomato plant diseases
by: Aquil, M.A.I., et al.
Published: (2021)

A Deep Learning Approach For Heart Disease Classification Using Convolutional Neural Network
by: Arulmolly, Annathurai
Published: (2019)

A convolution neural network-based seed classification system
by: Gulzar, Yonis, et al.
Published: (2020)

Gender classification: a convolutional neural network approach
by: Liew, Shan Sung, et al.
Published: (2016)

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

Gender Classification: A Convolutional Neural Network Approach
by: Shan, Sung Liew, et al.
Published: (2016)

Dragon Fruit Classification using Convolutional Neural Network
by: Tan, Ying Zhi
Published: (2020)

Convolutional Neural Network approach for different leaf classification
by: Ahmad Nazri, Ali, et al.
Published: (2023)

REST and neural gene network Dysregulation in iPSC models of Alzheimer’s disease
by: Meyer, Katharina, et al.
Published: (2019)

Narrow convolutional neural network for arabic dialects polarity classification
by: Oqlah Alali, Muath Mohammad, et al.
Published: (2019)

Classification of atrial fibrillation with pretrained convolutional neural network models
by: Qayyum, A., et al.
Published: (2019)

Classification of atrial fibrillation with pretrained convolutional neural network models
by: Qayyum, A., et al.
Published: (2019)

Convolutional neural network optimized by differential evolution for electrocardiogram classification
by: Wang Shir Li
Published: (2023)

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

Alzheimer's disease talk
by: The Star,
Published: (2012)

Human re-identification with global and local siamese convolution neural network
by: Low, K. B., et al.
Published: (2017)

Enhanced alzheimer’s disease classification scheme using 3d features
by: Aow, Yong Li Yew
Published: (2021)

Multi-Organ Plant Classification Based on Convolutional and Recurrent Neural Networks
by: Lee, Sue Han, et al.
Published: (2018)

Convolutional neural network for imbalanced data classification of silicon wafer defects
by: Batool, Uzma, et al.
Published: (2020)

Classification patient-ventilator asynchrony with dual-input convolutional neural network
by: Chong, Thern Chang, et al.
Published: (2021)