A modified Hopfield neural network with fuzzy c-means technique for multispectral MR image segmentation

Proceedings of 3rd IEEE International Conference on Image Processing ◽

10.1109/icip.1996.559499 ◽

2002 ◽

Cited By ~ 2

Author(s):

Jzau-Sheng Lin ◽

Kuo-Sheng Cheng ◽

Chi-Wu Mao

Keyword(s):

Neural Network ◽

Image Segmentation ◽

Hopfield Neural Network ◽

Mr Image ◽

Fuzzy C Means ◽

Mr Image Segmentation

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Development of a Neuro-fuzzy MR Image Segmentation Approach Using Fuzzy C-Means and Recurrent Neural Network

Lecture Notes in Computer Science - Pattern Recognition and Machine Intelligence ◽

10.1007/978-3-642-11164-8_21 ◽

2009 ◽

pp. 128-133

Author(s):

Dipankar Ray ◽

D. Dutta Majumder

Keyword(s):

Neural Network ◽

Image Segmentation ◽

Recurrent Neural Network ◽

Mr Image ◽

Fuzzy C Means ◽

Neuro Fuzzy ◽

Segmentation Approach ◽

Mr Image Segmentation

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MR image segmentation using a fuzzy-based neural network

Proceedings of ICNN'95 - International Conference on Neural Networks ◽

10.1109/icnn.1995.487700 ◽

2002 ◽

Author(s):

J.C. Ma ◽

J.J. Rodriguez

Keyword(s):

Neural Network ◽

Image Segmentation ◽

Mr Image ◽

Mr Image Segmentation

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Knee MR image segmentation combining contextual constrained neural network and level set evolution

2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology ◽

10.1109/cibcb.2009.4925738 ◽

2009 ◽

Cited By ~ 1

Author(s):

Haw-Chang Lan ◽

Tsai-Rong Chang ◽

Wen-Ching Liao ◽

Yi-Nun Chung ◽

Pau-Choo Chung

Keyword(s):

Neural Network ◽

Image Segmentation ◽

Level Set ◽

Mr Image ◽

Level Set Evolution ◽

Mr Image Segmentation

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Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation

IEEE Transactions on Medical Imaging ◽

10.1109/tmi.2019.2935018 ◽

2020 ◽

Vol 39 (3) ◽

pp. 753-763 ◽

Cited By ~ 25

Author(s):

Qikui Zhu ◽

Bo Du ◽

Pingkun Yan

Keyword(s):

Neural Network ◽

Image Segmentation ◽

Adaptive Neural Network ◽

Mr Image ◽

Mr Image Segmentation

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Brain MR image segmentation with fuzzy C-means and using additional shape elements

2009 14th National Biomedical Engineering Meeting ◽

10.1109/biyomut.2009.5130271 ◽

2009 ◽

Cited By ~ 1

Author(s):

Onur Ozyurt ◽

Alp Dincer ◽

Cengizhan Ozturk

Keyword(s):

Image Segmentation ◽

Mr Image ◽

Fuzzy C Means ◽

Mr Image Segmentation

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Fuzzy c-means with wavelet filtration for MR image segmentation

2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014) ◽

10.1109/nabic.2014.6921884 ◽

2014 ◽

Cited By ~ 6

Author(s):

Shang-Ling Jui ◽

Chao Lin ◽

Haibing Guan ◽

Ajith Abraham ◽

Aboul Ella Hassanien ◽

...

Keyword(s):

Image Segmentation ◽

Mr Image ◽

Wavelet Filtration ◽

Fuzzy C Means ◽

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 ◽

Cited By ~ 3

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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QIBDS Net: A Quantum-Inspired Bi-Directional Self-supervised Neural Network Architecture for Automatic Brain MR Image Segmentation

Lecture Notes in Computer Science - Pattern Recognition and Machine Intelligence ◽

10.1007/978-3-030-34872-4_10 ◽

2019 ◽

pp. 87-95

Author(s):

Debanjan Konar ◽

Siddhartha Bhattacharyya ◽

Bijaya Ketan Panigrahi

Keyword(s):

Neural Network ◽

Image Segmentation ◽

Network Architecture ◽

Neural Network Architecture ◽

Mr Image ◽

Mr Image Segmentation

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Survey on MR image segmentation using fuzzy C-Means algorithm

International Journal of Engineering Research ◽

10.5958/2319-6890.2017.00015.0 ◽

2017 ◽

Vol 6 (5) ◽

pp. 261 ◽

Cited By ~ 3

Author(s):

Purva Singh ◽

Kashish Arora ◽

Shivin Sinha ◽

Sathyaraj R.

Keyword(s):

Image Segmentation ◽

Mr Image ◽

Fuzzy C Means ◽

Mr Image Segmentation ◽

Fuzzy C Means Algorithm

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Variable Variance Adaptive Mean-Shift and possibilistic fuzzy C-means based recursive framework for brain MR image segmentation

Expert Systems with Applications ◽

10.1016/j.eswa.2017.09.049 ◽

2018 ◽

Vol 92 ◽

pp. 317-333 ◽

Cited By ~ 4

Author(s):

Jeetashree Aparajeeta ◽

Sasmita Mahakud ◽

Pradipta Kumar Nanda ◽

Niva Das

Keyword(s):

Image Segmentation ◽

Mean Shift ◽

Mr Image ◽

Fuzzy C Means ◽

Mr Image Segmentation

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