Performance analysis of unsupervised optimal fuzzy clustering algorithm for MRI brain tumor segmentation-Reference-Cited by-同舟云学术

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Performance analysis of unsupervised optimal fuzzy clustering algorithm for MRI brain tumor segmentation

Published:2014-11-17 Issue:1 Volume:23 Page:23-35
ISSN:0928-7329
Container-title:Technology and Health Care
language:
Short-container-title:THC

Author:

Blessy S.A. Praylin Selva¹,Sulochana C. Helen²

Affiliation:

1. Department of Electronics and Communication Engineering, Bethlahem Institute of Engineering, Karungal, Kanyakumari, Tamil Nadu, India

2. Department of Electronics and Communication Engineering, St.Xavier's Catholic College of Engineering, Nagercoil, Kanyakumari, Tamil Nadu, India

Publisher

IOS Press

Subject

Health Informatics,Biomedical Engineering,Information Systems,Biomaterials,Bioengineering,Biophysics

Cited by 7 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. Machine learning and deep learning for brain tumor MRI image segmentation;Experimental Biology and Medicine;2023-12-16

2. Edge U-Net: Brain tumor segmentation using MRI based on deep U-Net model with boundary information;Expert Systems with Applications;2023-03

3. Value of Magnetic Resonance Images and Magnetic Resonance Spectroscopy in Diagnosis of Brain Tumors under Fuzzy C-Means Algorithm;Contrast Media & Molecular Imaging;2022-05-30

4. A Survey of Brain Tumor Segmentation and Classification Algorithms;Journal of Imaging;2021-09-06

5. Pyramid graph cut: Integrating intensity and gradient information for grayscale medical image segmentation;Computers in Biology and Medicine;2020-11

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