Fuzzy clustering‐based image segmentation techniques used to segment magnetic resonance imaging / computed tomography scan brain tissues: Comparative analysis-Reference-Cited by-同舟云学术

Fuzzy clustering‐based image segmentation techniques used to segment magnetic resonance imaging / computed tomography scan brain tissues: Comparative analysis

Published:2020-05-22 Issue:4 Volume:30 Page:1294-1323
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Technol

Author:

Kaur Prabhjot¹^ORCID,Sharma Prakul¹,Palmia Ankur¹

Affiliation:

1. Maharaja Surajmal Institute of Technology New Delhi India

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22439

Reference42 articles.

1. A novel intuitionistic fuzzy C means clustering algorithm and its application to medical images

2. A novel kernelized type‐2 fuzzy C‐means clustering algorithm in segmentation of Noisy brain tissues;Kaur P;Int J Sci Technol Manage,2011

3. Intuitionistic fuzzy sets based credibilistic fuzzy C‐means clustering for medical image segmentation;Kaur P;Int J Inf Technol,2017

4. A Hybrid Scheme for Breast Cancer Detection using Intuitionistic Fuzzy Rough Set Technique

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