Texture Features Based Hybrid Multi Support Vector Machine Model for the diagnosis of Alzheimer's disease through Brain MRI Images-Reference-Cited by-同舟云学术

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Texture Features Based Hybrid Multi Support Vector Machine Model for the diagnosis of Alzheimer's disease through Brain MRI Images

Published:2023-12-22 Issue: Volume:2014 Page:1-6
ISSN:
Container-title:2023 International Conference on Computational Intelligence, Networks and Security (ICCINS)
language:
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Author:

Mallika R.M.¹,Rani K Usha²,Hemalatha K³,Giri M.⁴

Affiliation:

1. Dept. of CSE Siddarth Institute of Engineering &Technology,Puttur,Andhra Pradesh,India

2. Sri Padmavati Mahila Visva Vidyalayam,Dept. of Computer Science,Tirupati,Andhra Pradesh,India

3. Madanapalle Institute of Technology & Science,Dept. of CSE-AI,Madanapalle,Andhra Pradesh,India

4. Siddarth Institute of Engineering & Technology,Department of CSE,Puttur,Andhra Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10449967/10449995/10450096.pdf?arnumber=10450096

Reference21 articles.

1. Hippocampal Shape Analysis of Alzheimer Disease Based on Machine Learning Methods

2. Alzheimers Disease Facts and Figure;Alzheimers Association

3. Alzheimers Disease Detection using Gaussian Kernel Based Fuzzy C-Means Clustering Algorithm;Aravindan;Turkish Journal of Computer and Mathematics Education,2021

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