PET image segmentation using a Gaussian mixture model and Markov random fields

EJNMMI Physics ◽

10.1186/s40658-015-0110-7 ◽

2015 ◽

Vol 2 (1) ◽

Author(s):

Thomas Layer ◽

Matthias Blaickner ◽

Barbara Knäusl ◽

Dietmar Georg ◽

Johannes Neuwirth ◽

...

Keyword(s):

Image Segmentation ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Random Fields ◽

Markov Random Fields ◽

Gaussian Mixture ◽

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Reservoir Lithology Determination by Hidden Markov Random Fields Based on a Gaussian Mixture Model

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2018.2841059 ◽

2018 ◽

Vol 56 (11) ◽

pp. 6663-6673 ◽

Author(s):

Runhai Feng ◽

Stefan M. Luthi ◽

Dries Gisolf ◽

Erika Angerer

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Random Fields ◽

Markov Random Fields ◽

Hidden Markov ◽

Gaussian Mixture ◽

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Texture Segmentation of Urinary Sediment Image based on a Weighted Gaussian Mixture Model with Markov Random Fields

Proceedings of the 2018 7th International Conference on Bioinformatics and Biomedical Science - ICBBS '18 ◽

10.1145/3239264.3239276 ◽

2018 ◽

Author(s):

Xiaoming Jiang ◽

Fuqu Chen ◽

Qianqian Chen ◽

Miaomiao Si ◽

Wei Wang

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Random Fields ◽

Markov Random Fields ◽

Gaussian Mixture ◽

Texture Segmentation ◽

Urinary Sediment ◽

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A Weighted Gaussian Mixture Model with Markov Random Fields and Adaptive Expert Combination Strategy for Segmenting Masses in Mammograms

Recent Advances in Breast Imaging, Mammography, and Computer-Aided Diagnosis of Breast Cancer ◽

10.1117/3.651880.ch8 ◽

2010 ◽

pp. 263-289 ◽

Author(s):

Sameer Singh ◽

Keir Bovis

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Random Fields ◽

Markov Random Fields ◽

Gaussian Mixture ◽

Combination Strategy ◽

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Gaussian mixture model and Markov random fields for hyperspectral image classification

European Journal of Remote Sensing ◽

10.1080/22797254.2018.1503565 ◽

2018 ◽

Vol 51 (1) ◽

pp. 889-900 ◽

Author(s):

Hamid Ghanbari ◽

Saeid Homayouni ◽

Abdolreza Safari ◽

Pedram Ghamisi

Keyword(s):

Image Classification ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Random Fields ◽

Markov Random Fields ◽

Hyperspectral Image ◽

Gaussian Mixture ◽

Hyperspectral Image Classification ◽

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Gaussian Mixture Model with Markov Random Field for MR Image Segmentation

2006 IEEE International Conference on Industrial Technology ◽

10.1109/icit.2006.372426 ◽

2006 ◽

Author(s):

Huiguang He ◽

Ke Lu ◽

Bin Lv

Keyword(s):

Image Segmentation ◽

Random Field ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Markov Random Field ◽

Gaussian Mixture ◽

Mr Image ◽

Markov Random ◽

Mr Image Segmentation

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Mammographic image segmentation using a tissue-mixture model and Markov random fields

Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) ◽

10.1109/icip.2000.899422 ◽

2002 ◽

Author(s):

G. McGarry ◽

M. Deriche

Keyword(s):

Image Segmentation ◽

Mixture Model ◽

Random Fields ◽

Markov Random Fields ◽

Mammographic Image ◽

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A spatially constrained asymmetric Gaussian mixture model for image segmentation

Information Sciences ◽

10.1016/j.ins.2021.06.034 ◽

2021 ◽

Author(s):

Yunjie Chen ◽

Ning Cheng ◽

Mao Cai ◽

Chunzheng Cao ◽

Jianwei Yang ◽

...

Keyword(s):

Image Segmentation ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture

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Pixon-based image segmentation with markov random fields

IEEE Transactions on Image Processing ◽

10.1109/tip.2003.817242 ◽

2003 ◽

Vol 12 (12) ◽

pp. 1552-1559 ◽

Author(s):

Faguo Yang ◽

Tianzi Jiang

Keyword(s):

Image Segmentation ◽

Random Fields ◽

Markov Random Fields ◽

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MR brain imaging segmentation based on spatial Gaussian mixture model and Markov random field

IEEE International Conference on Image Processing 2005 ◽

10.1109/icip.2005.1529750 ◽

2005 ◽

Author(s):

Zhigang Peng ◽

W. Wee ◽

Jing-Huei Lee

Keyword(s):

Random Field ◽

Brain Imaging ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Markov Random Field ◽

Gaussian Mixture ◽

Markov Random ◽

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Image segmentation by fusion of low level and domain specific information via Markov Random Fields

Pattern Recognition Letters ◽

10.1016/j.patrec.2014.05.010 ◽

2014 ◽

Vol 46 ◽

pp. 75-82 ◽

Author(s):

Ozge Oztimur Karadag ◽

Fatos T. Yarman Vural

Keyword(s):

Image Segmentation ◽

Random Fields ◽

Markov Random Fields ◽

Specific Information ◽

Low Level ◽

Domain Specific ◽

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