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Adaptive 3DCNN-Based Interpretable Ensemble Model for Early Diagnosis of Alzheimer's Disease 期刊论文
发表期刊: IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS. 出版年: 2024, 卷号: 11, 期号: 1, 页码: 247-266
作者:  Pan, Dan;  Luo, Genqiang;  Zeng, An;  Zou, Chao;  Liang, Haolin;  Wang, Jianbin;  Zhang, Tong;  Yang, Baoyao
收藏  |  浏览/下载：19/0  |  提交时间：2024/10/04
Alzheimer's disease (AD)  attribution methods  convolutional neural network (CNN)  deep learning (DL)  ensemble learning (EL)  genetic algorithm  interpretability  magnetic resonance imaging  
Hybrid D-OCapNet: Automated Multi-Class Alzheimer's Disease Classification in Brain MRI Using Hybrid Dense Optimal Capsule Network 期刊论文
发表期刊: INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE. 出版年: 2023, 卷号: 37, 期号: 15
作者:  Nisha, A. V.;  Rajasekaran, M. Pallikonda;  Kottaimalai, R.;  Vishnuvarthanan, G.;  Arunprasath, T.;  Muneeswaran, V.
收藏  |  浏览/下载：13/0  |  提交时间：2024/09/29
Deep learning  Alzheimer's disease (AD)  brain MRI image data  hybrid D-OCapNet  Bald eagle optimization  multiview fuzzy clustering  brain tissues  
Early-Stage Alzheimer's Disease Prediction Using Machine Learning Models 期刊论文
发表期刊: FRONTIERS IN PUBLIC HEALTH. 出版年: 2022, 卷号: 10
作者:  Kavitha, C.;  Mani, Vinodhini;  Srividhya, S. R.;  Khalaf, Osamah Ibrahim;  Tavera Romero, Carlos Andres
收藏  |  浏览/下载：14/0  |  提交时间：2024/09/20
healthcare  prediction  Alzheimer's disease (AD)  machine learning  feature selection  
A robust machine learning approach for multiclass Alzheimer's disease detection using 3D brain magnetic resonance images 期刊论文
发表期刊: JOURNAL OF ENGINEERING RESEARCH. 出版年: 2022, 卷号: 10, 期号: 2A, 页码: 82-94
作者:  Reddy, G. Nagarjuna;  Nagireddy, K.
收藏  |  浏览/下载：16/0  |  提交时间：2024/09/20
GLCM  3D SIFT  HOG-TOP features  CLBPSM-TOP  Alzheimer's disease (AD)  3D magnetic resonance image (3D MRI)  
Regression and Classification of Alzheimer's Disease Diagnosis Using NMF-TDNet Features From 3D Brain MR Image 期刊论文
发表期刊: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. 出版年: 2022, 卷号: 26, 期号: 3, 页码: 1103-1115
作者:  Lao, Huan;  Zhang, Xuejun
收藏  |  浏览/下载：17/0  |  提交时间：2024/09/20
Diseases  Principal component analysis  Tensors  Convolution  Deep learning  Medical diagnostic imaging  Matrix decomposition  Alzheimer's disease (AD)  deep learning  PCANet  NMF-TDNet  regression and classification  
Deep Learning Type Convolution Neural Network Architecture for Multiclass Classification of Alzheimer's Disease 会议论文
会议名称: 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC) / 8th International Conference on Bioimaging (BIOIMAGING). 会议地点: ELECTR NETWORK. 会议日期: FEB 11-13, 2021
作者:  Battineni, Gopi;  Chintalapudi, Nalini;  Amenta, Francesco;  Traini, Enea
收藏  |  浏览/下载：22/0  |  提交时间：2021/08/05
Alzheimer's Disease (AD)  OASIS-3  MRI Images  Deep Learning  CNN  
Hybrid Feature Fusion Using RNN and Pre-trained CNN for Classification of Alzheimer's Disease 会议论文
会议名称: 22nd International Conference on Information Fusion (FUSION). 会议地点: Ottawa, CANADA. 会议日期: JUL 02-05, 2019
作者:  Jabason, Emimal;  Ahmad, M. Omair;  Swamy, M. N. S.
收藏  |  浏览/下载：12/0  |  提交时间：2021/11/30
Alzheimer's disease (AD)  Magnetic resonance imaging (MRI)  Transfer learning  DenseNet  Long short-term memory (LSTM)  Hybrid feature fusion  
Using Deep CNN with Data Permutation Scheme for Classification of Alzheimer's Disease in Structural Magnetic Resonance Imaging (sMRI) 期刊论文
发表期刊: IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS. 出版年: 2019, 卷号: E102D, 期号: 7, 页码: 1384-1395
作者:  Lee, Bumshik;  Ellahi, Waqas;  Choi, Jae Young
收藏  |  浏览/下载：16/0  |  提交时间：2019/11/29
structural magnetic resonance imaging (sMRI)  grey matter (GM)  white matter (WM)  Alzheimer's disease (AD)  normal controls (NC)  
Fractal Dimension for Classifying 3D Brain MRI Using Improved Triangle Box-Counting Method 会议论文
会议名称: 8th International Conference on Information Technology and Electrical Engineering (ICITEE). 会议地点: Yogyakarta, INDONESIA. 会议日期: OCT 05-06, 2016
作者:  Kaewaramsri, Yothin;  Alfarozi, Syukron Abu Ishaq;  Woraratpanya, Kuntpong;  Kuroki, Yoshimitsu
收藏  |  浏览/下载：5/0  |  提交时间：2019/12/09
fractal dimension (FD)  improved triangle box-counting (ITBC)  3D brain MRI  Alzheimer'  s disease (AD)  
Fractal Dimension for Classifying 3D Brain MRI Using Improved Triangle Box-Counting Method 会议论文
会议名称: 8th International Conference on Information Technology and Electrical Engineering (ICITEE). 会议地点: Yogyakarta, INDONESIA. 会议日期: OCT 05-06, 2016
作者:  Kaewaramsri, Yothin;  Alfarozi, Syukron Abu Ishaq;  Woraratpanya, Kuntpong;  Kuroki, Yoshimitsu
收藏  |  浏览/下载：7/0  |  提交时间：2019/12/09
fractal dimension (FD)  improved triangle box-counting (ITBC)  3D brain MRI  Alzheimer'  s disease (AD)