Brain MR image segmentation based on anisotropic Gibbs random field and fuzzy C-means clustering model

Journal of Computer Applications ◽

10.3724/sp.j.1087.2008.01750 ◽

2008 ◽

Vol 28 (7) ◽

pp. 1750-1752 ◽

Author(s):

Shun-feng WANG

Keyword(s):

Image Segmentation ◽

Random Field ◽

Mr Image ◽

Gibbs Random Field ◽

Fuzzy C Means ◽

Clustering Model ◽

Fuzzy C Means Clustering ◽

Mr Image Segmentation

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Clustering based on fuzzy Gibbs random field and 2D histogram algorithm for MR image segmentation

Journal of Computer Applications ◽

10.3724/sp.j.1087.2010.02797 ◽

2010 ◽

Vol 30 (10) ◽

pp. 2797-2801

Author(s):

Tao YANG ◽

Yi-hong GUAN

Keyword(s):

Image Segmentation ◽

Random Field ◽

Mr Image ◽

Gibbs Random Field ◽

Mr Image Segmentation ◽

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MR image segmentation algorithm based on non-local fuzzy C-means clustering

The 27th Chinese Control and Decision Conference (2015 CCDC) ◽

10.1109/ccdc.2015.7162084 ◽

2015 ◽

Author(s):

Sui Yuan ◽

Wei Ying

Keyword(s):

Image Segmentation ◽

Segmentation Algorithm ◽

Mr Image ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering ◽

Non Local ◽

Mr Image Segmentation ◽

Image Segmentation Algorithm

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MR Image Segmentation Based On Fuzzy C-Means Clustering and the Level Set Method

2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery ◽

10.1109/fskd.2008.532 ◽

2008 ◽

Author(s):

Chengzhong Huang ◽

Bin Yan ◽

Hua Jiang ◽

Dahui Wang

Keyword(s):

Image Segmentation ◽

Level Set Method ◽

Level Set ◽

Mr Image ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering ◽

Mr Image Segmentation

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Fully Automatic Multispectral MR Image Segmentation of Prostate Gland Based on the Fuzzy C-Means Clustering Algorithm

Multidisciplinary Approaches to Neural Computing - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-319-56904-8_3 ◽

2017 ◽

pp. 23-37 ◽

Author(s):

Leonardo Rundo ◽

Carmelo Militello ◽

Giorgio Russo ◽

Davide D’Urso ◽

Lucia Maria Valastro ◽

...

Keyword(s):

Image Segmentation ◽

Clustering Algorithm ◽

Prostate Gland ◽

Mr Image ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering ◽

Fully Automatic ◽

Mr Image Segmentation

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A new entropy-based approach for fuzzy c-means clustering and its application to brain MR image segmentation

Soft Computing ◽

10.1007/s00500-018-3594-y ◽

2018 ◽

Vol 23 (20) ◽

pp. 10407-10414 ◽

Author(s):

Sayan Kahali ◽

Jamuna Kanta Sing ◽

Punam Kumar Saha

Keyword(s):

Image Segmentation ◽

Mr Image ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering ◽

Mr Image Segmentation

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Rough intuitionistic type-2 fuzzy c-means clustering algorithm for MR image segmentation

IET Image Processing ◽

10.1049/iet-ipr.2018.5597 ◽

2019 ◽

Vol 13 (4) ◽

pp. 607-614 ◽

Author(s):

Xiangjian Chen ◽

Di Li ◽

Xun Wang ◽

Xibei Yang ◽

Hongmei Li

Keyword(s):

Image Segmentation ◽

Clustering Algorithm ◽

Mr Image ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering ◽

Mr Image Segmentation

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Fuzzy c-means clustering method based on prior knowledge for brain MR image segmentation

2014 21th Iranian Conference on Biomedical Engineering (ICBME) ◽

10.1109/icbme.2014.7043928 ◽

2014 ◽

Author(s):

Mahsa Badiee Yazdi ◽

Mohammad Mahdi Khalilzadeh ◽

Mohsen Foroughipour

Keyword(s):

Image Segmentation ◽

Prior Knowledge ◽

Clustering Method ◽

Mr Image ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering ◽

Mr Image Segmentation

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Rough fuzzy region based bounded support fuzzy C-means clustering for brain MR image segmentation

Journal of Ambient Intelligence and Humanized Computing ◽

10.1007/s12652-019-01672-w ◽

2020 ◽

Author(s):

A. Srinivasan ◽

S. Sadagopan

Keyword(s):

Image Segmentation ◽

Mr Image ◽

Fuzzy C Means ◽

Bounded Support ◽

Fuzzy C Means Clustering ◽

Mr Image Segmentation ◽

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An improved MR image segmentation method based on fuzzy c-means clustering

2012 International Conference on Computational Problem-Solving (ICCP) ◽

10.1109/iccps.2012.6384288 ◽

2012 ◽

Author(s):

Linju Lu ◽

Min Li ◽

Xiaoying Zhang

Keyword(s):

Image Segmentation ◽

Segmentation Method ◽

Mr Image ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering ◽

Mr Image Segmentation

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Parameter optimization of improved fuzzy c-means clustering algorithm for brain MR image segmentation

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2009.10.002 ◽

2010 ◽

Vol 23 (2) ◽

pp. 160-168 ◽

Author(s):

Mohamad Forouzanfar ◽

Nosratallah Forghani ◽

Mohammad Teshnehlab

Keyword(s):

Image Segmentation ◽

Parameter Optimization ◽

Clustering Algorithm ◽

Mr Image ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering ◽

Mr Image Segmentation

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