Novel Improved Fuzzy C-means Clustering for MR Image Brain Tissue Segmentation to Detect Alzheimer’s Disease-Reference-Cited by-同舟云学术

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Novel Improved Fuzzy C-means Clustering for MR Image Brain Tissue Segmentation to Detect Alzheimer’s Disease

Published:2023-11-28 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Computer and Applications (ICCA)
language:
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Author:

Ali Esraa H.¹,Sadek Sawsan²,Makki Zaid F.³

Affiliation:

1. Al-Nahrain University,Doctoral School of Sciences and Technologies – EDST,Computer Science Department/College of Science,Baghdad,Iraq

2. Lebanese University,Doctoral School of Sciences and Technologies – EDST,Beirut,Lebanon

3. Alnahrain center for strategic studies,Baghdad,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10401264/10401330/10401833.pdf?arnumber=10401833

Reference20 articles.

1. Image Segmentation Using K -means Clustering Algorithm and Subtractive Clustering Algorithm

2. Image Segmentation Based on Mathematical Morphological Operator

3. Research on Efficient Fuzzy Clustering Method Based on Local Fuzzy Granular balls;Xie;arXiv:2303.03590v2 [cs.LG],2023

4. Application of belief functions to medical image segmentation: A review

5. Watershed segmentation brain tumor detection

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advanced Integration of Machine Learning Techniques for Accurate Segmentation and Detection of Alzheimer’s Disease;Algorithms;2024-05-10

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