Early Stage Detection of Alzheimer's using Hybrid Artificial Intelligence Model: A Review
Author:
Affiliation:
1. REVA University,School of Electronics and Communication,Bangalore,India,560064
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10205372/10205375/10205681.pdf?arnumber=10205681
Reference23 articles.
1. Discrimination and conversion prediction of mild cognitive impairment using convolutional neural networks
2. CAD-ALZ: A Blockwise Fine-Tuning Strategy on Convolutional Model and Random Forest Classifier for Recognition of Multistage Alzheimer’s Disease
3. ADD-Net: An Effective Deep Learning Model for Early Detection of Alzheimer Disease in MRI Scans
4. Automated MRI-Based Deep Learning Model for Detection of Alzheimer's Disease Process;feng;Int J Neural Syst,2020
5. HTLML: Hybrid AI Based Model for Detection of Alzheimer’s Disease
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1. Enhancing Alzheimer's Disease Diagnosis: A Hybrid Model of Transfer Learning and SVM for Improved Classification Accuracy;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05
2. A Comprehensive Review on Early Diagnosis of Alzheimer’s Disease Detection;2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE);2023-11-01
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