Brain Anomaly Prediction with the Intervention of Fuzzy Based Clustering and Optimization Techniques for Augmenting Clinical Diagnosis-Reference-Cited by-同舟云学术

Brain Anomaly Prediction with the Intervention of Fuzzy Based Clustering and Optimization Techniques for Augmenting Clinical Diagnosis

Published:2021-12-17 Issue: Volume: Page:
ISSN:
Container-title:2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)
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Author:

Ramaraj Kottaimalai¹,Govindaraj Vishnuvarthanan²,Zhang Yu-Dong³,Murugan Pallikonda Rajasekaran⁴,Thiyagarajan Arunprasath²

Affiliation:

1. Kalasalingam Academy of Research and Education,Deptartment of ICE,Srivilliputtur,Tamilnadu,India

2. Kalasalingam Academy of Research and Education,Department of BME,Srivilliputtur,Tamilnadu,India

3. Department of Informatics,Leicester,UK,LE17RH

4. Kalasalingam Academy of Research and Education,Department of ECE,Srivilliputtur,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9725360/9725386/09725563.pdf?arnumber=9725563

Reference15 articles.

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4. An unsupervised orthogonal rotation invariant moment based fuzzy C-means approach for the segmentation of brain magnetic resonance images;singh;Expert Systems with Applications,2020

5. A fully automated algorithm under modified FCM framework for improved brain MR image segmentation

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