Multimodal magnetic resonance imaging for Alzheimer's disease diagnosis using hybrid features extraction and ensemble support vector machines-Reference-Cited by-同舟云学术

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Multimodal magnetic resonance imaging for Alzheimer's disease diagnosis using hybrid features extraction and ensemble support vector machines

Published:2022-11-04 Issue:2 Volume:33 Page:610-621
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Tech

Author:

Houria Latifa¹^ORCID,Belkhamsa Noureddine¹,Cherfa Assia¹,Cherfa Yazid¹

Affiliation:

1. LASICOM Laboratory, Department of Electronics Faculty of Technology, University of Blida 1 Blida Algeria

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22824

Reference43 articles.

1. PattersonC.World alzheimer report 2018.2018.

2. A CNN–RNN–LSTM Based Amalgamation for Alzheimer’s Disease Detection

3. Deep transfer learning for alzheimer neurological disorder detection

4. Automated MRI-Based Deep Learning Model for Detection of Alzheimer’s Disease Process

5. Brain atrophy in Alzheimer’s Disease and aging

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1. A hybrid multimodal machine learning model for Detecting Alzheimer's disease;Computers in Biology and Medicine;2024-02

2. Hidden Markov Model based Predicting of Alzheimer’s Disease with graph cut segmentation using MR Diffusion Tensor Imaging (DTI);Journal of Intelligent & Fuzzy Systems;2023-12-29

3. Accuracy Evaluation of Computer Intelligent Projection Technology in Medical Measurement;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20

4. Prediction of Alzheimer's disease - A Machine Learning Perspective with Ensemble Learning;2023 6th International Conference on Contemporary Computing and Informatics (IC3I);2023-09-14

5. Detection of different progression stages of Alzheimer’s disease using SURF;2023 9th International Conference on Smart Computing and Communications (ICSCC);2023-08-17

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