Segmentation Method of Deterministic Feature Clustering for Identification of Brain Tumor Using MRI-Reference-Cited by-同舟云学术

Segmentation Method of Deterministic Feature Clustering for Identification of Brain Tumor Using MRI

Published:2023 Issue: Volume:11 Page:39695-39712
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ejaz Khurram¹^ORCID,Suaib Norhaida Binti Mohd²^ORCID,Kamal Mohammad Shahid³,Rahim Mohd Shafry Mohd⁴^ORCID,Rana Nadim³

Affiliation:

1. Department of Computer Science and Information Technology, The University of Lahore, Lahore, Punjab, Pakistan

2. UTM Big Data Center, Ibnu Sina Institute of Scientific and Industrial Research (ISI-SIR), Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia

3. Department of Computer Science, College of Computer Science and Information Technology, Jazan University, Jizan, Saudi Arabia

4. Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10089412.pdf?arnumber=10089412

Reference60 articles.

1. Efficient brain tumor classification using PCA and SVM;athul sukumar;International Journal of Research in Engineering IT and Social Science,2017

2. Review on Hybrid Segmentation Methods for Identification of Brain Tumor in MRI

3. Combination of stationary wavelet transform and kernel support vector machines for pathological brain detection

4. Confidence Region Identification and Contour Detection in MRI Image

5. Magnetic resonance brain classification by a novel binary particle swarm optimization with mutation and time-varying acceleration coefficients

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