Segmenting and Classifying MRI Multimodal Images Using Cuckoo Search Optimization and KNN Classifier-Reference-Cited by-同舟云学术

Segmenting and Classifying MRI Multimodal Images Using Cuckoo Search Optimization and KNN Classifier

Published:2021-06-20 Issue: Volume: Page:1-8
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

Sumathi R.¹,Venkatesulu M.²,Arjunan Sridhar P.³

Affiliation:

1. Department of Computer Science and Engineering, School of Computing, Kalasalingam Academy of Research and Education, Krishnankovil, Tamil Nadu, India

2. Department of Information Technology, School of Computing, Kalasalingam Academy of Research and Education, Krishnankovil, Tamil Nadu, India

3. Department of Electronics and Instrumentation Engineering, SRM Institute of Technology, Kattankulathur 603203, India

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/03772063.2021.1939803

Reference25 articles.

1. Kernel-based fuzzy clustering and fuzzy clustering: A comparative experimental study

2. Multi-resolution MRI Brain Image Segmentation Based on Morphological Pyramid and Fuzzy C-mean Clustering

3. PCA based clustering for brain tumor segmentation of T1w MRI images

4. Abnormality Segmentation and Classification of Multi-class Brain Tumor in MR Images Using Fuzzy Logic-Based Hybrid Kernel SVM

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