Color Magnetic Resonance Brain Image Segmentation by ParaOptiMUSIG Activation Function: An Application

2015 ◽  
pp. 185-214 ◽  
Author(s):  
Sourav De ◽  
Siddhartha Bhattacharyya
Keyword(s):  
Image Segmentation ◽  
Magnetic Resonance ◽  
Activation Function ◽  
Brain Image ◽  
Brain Image Segmentation

Distance metric-based time-efficient fuzzy algorithm for abnormal magnetic resonance brain image segmentation

2012 ◽  
Vol 22 (5) ◽  
pp. 1013-1022 ◽  
Author(s):  
D. Jude Hemanth ◽  
C. Kezi Selva Vijila ◽  
A. Immanuel Selvakumar ◽  
J. Anitha
Keyword(s):  
Image Segmentation ◽  
Magnetic Resonance ◽  
Distance Metric ◽  
Fuzzy Algorithm ◽  
Brain Image ◽  
Brain Image Segmentation

Review of Set Theoretic Approaches to Magnetic Resonance Brain Image Segmentation

2019 ◽  
pp. 1-18 ◽  
Author(s):  
Anupama Namburu ◽  
Samayamantula Srinivas Kumar ◽  
Edara Srinivasa Reddy
Keyword(s):  
Image Segmentation ◽  
Magnetic Resonance ◽  
Brain Image ◽  
Brain Image Segmentation

An Automatic Magnetic Resonance Brain Image Segmentation Method Using a Multitask Weighted Fuzzy Clustering Algorithm

2021 ◽  
Vol 11 (8) ◽  
pp. 2177-2183
Author(s):  
Lei Hua ◽  
Jing Xue ◽  
Kaijian Xia ◽  
Leyuan Zhou ◽  
Pengjiang Qian ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Magnetic Resonance ◽  
Fuzzy Clustering ◽  
Clustering Algorithm ◽  
Medical Images ◽  
Medical Image Analysis ◽  
Brain Images ◽  
Brain Image ◽  
Fuzzy Clustering Algorithm ◽  
Brain Image Segmentation

In clinical assisted diagnosis, it is an important way to obtain information with the help of medical images. Qualitative and quantitative analysis of brain tissue has become a research hotspot for brain diseases. Therefore, image segmentation technology is an indispensable link in medical image analysis. Due to the defects such as ambiguity, complexity, gray-scale unevenness, partial volume effect in magnetic resonance brain images, it is essential to improve the segmentation performance of classical algorithms in medical images. In this paper, multitasking and weighted fuzzy clustering algorithm are combined as a new algorithm (MT-WFCM) for MRI brain image segmentation. The proposed MT-WFCM algorithm improve the clustering performance of all tasks through common information between different magnetic resonance brain images with correlation. Besides, the difference between MT-WFCM and MT-FCM is that task weights are added to avoid negative effects between tasks in the segmentation process. According to five different comparative experiments, the MT-WFCM algorithm can mine the cooperative relationship among each task and the characteristics of each task effectively. In magnetic resonance image (MRI) segmentation, multi-task weighted fuzzy c-means clustering method can make up for the shortcomings of single-task clustering algorithm, strengthen the relationship between tasks, and get more accurate segmentation results.

scholarly journals Fast method for brain image segmentation: Application to proton magnetic resonance spectroscopic imaging

2005 ◽  
Vol 54 (5) ◽  
pp. 1268-1272 ◽  
Author(s):  
David Bonekamp ◽  
Alena Horská ◽  
Michael A. Jacobs ◽  
Atilla Arslanoglu ◽  
Peter B. Barker
Keyword(s):  
Image Segmentation ◽  
Magnetic Resonance ◽  
Proton Magnetic Resonance ◽  
Spectroscopic Imaging ◽  
Magnetic Resonance Spectroscopic Imaging ◽  
Fast Method ◽  
Brain Image ◽  
Brain Image Segmentation

Generalised rough intuitionistic fuzzy c-means for magnetic resonance brain image segmentation

2017 ◽  
Vol 11 (9) ◽  
pp. 777-785 ◽  
Author(s):  
Anupama Namburu ◽  
Srinivas Kumar Samayamantula ◽  
Srinivasa Reddy Edara
Keyword(s):  
Image Segmentation ◽  
Magnetic Resonance ◽  
Brain Image ◽  
Fuzzy C Means ◽  
Intuitionistic Fuzzy ◽  
Brain Image Segmentation

A fully automated hybrid methodology using Cuckoo-based fuzzy clustering technique for magnetic resonance brain image segmentation

2017 ◽  
Vol 27 (4) ◽  
pp. 317-332 ◽  
Author(s):  
Saravanan Alagarsamy ◽  
Kartheeban Kamatchi ◽  
Vishnuvarthanan Govindaraj ◽  
Arunprasath Thiyagarajan
Keyword(s):  
Image Segmentation ◽  
Magnetic Resonance ◽  
Fuzzy Clustering ◽  
Brain Image ◽  
Clustering Technique ◽  
Hybrid Methodology ◽  
Brain Image Segmentation
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