An Automated Approach for Segmentation of Brain MR Images using Gaussian Mixture Model based Hidden Markov Random Field with Expectation Maximization

Hidden Markov ◽

Gaussian Mixture ◽

Mr Images ◽

Markov Random ◽

Ground-Glass-Opacity Nodule Detection and Segmentation Based on Dot Filter and Gaussian Mixture Model Hidden Markov Random Field

Journal of Medical Imaging and Health Informatics ◽

10.1166/jmihi.2014.1276 ◽

2014 ◽

Vol 4 (3) ◽

pp. 399-403 ◽

Cited By ~ 1

Author(s):

Shenshen Sun ◽

Huizhi Ren

Keyword(s):

Random Field ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Markov Random Field ◽

Hidden Markov ◽

Ground Glass Opacity ◽

Gaussian Mixture ◽

Markov Random ◽

Nodule Detection ◽

Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm

IEEE Transactions on Medical Imaging ◽

10.1109/42.906424 ◽

2001 ◽

Vol 20 (1) ◽

pp. 45-57 ◽

Cited By ~ 3751

Author(s):

Y. Zhang ◽

M. Brady ◽

S. Smith

Keyword(s):

Markov Random Field ◽

Field Model ◽

Hidden Markov ◽

Expectation Maximization Algorithm ◽

Mr Images ◽

Markov Random ◽

Segmentation of brain MR images using hidden Markov random field model with weighting neighborhood system

IEEE Symposium Conference Record Nuclear Science 2004. ◽

10.1109/nssmic.2004.1466365 ◽

2005 ◽

Cited By ~ 2

Author(s):

T. Chen ◽

T.S. Huang ◽

Zhi-pei Liang

Keyword(s):

Random Field ◽

Markov Random Field ◽

Field Model ◽

Hidden Markov ◽

Mr Images ◽

Random Field Model ◽

Markov Random ◽

Rough-probabilistic clustering and hidden Markov random field model for segmentation of HEp-2 cell and brain MR images

Applied Soft Computing ◽

10.1016/j.asoc.2016.03.010 ◽

2016 ◽

Vol 46 ◽

pp. 558-576 ◽

Cited By ~ 15

Author(s):

Abhirup Banerjee ◽

Pradipta Maji

Keyword(s):

Random Field ◽

Markov Random Field ◽

Field Model ◽

Hidden Markov ◽

Mr Images ◽

Probabilistic Clustering ◽

Markov Random ◽

Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB) - Lecture Notes in Computational Vision and Biomechanics ◽

Hidden Markov Random Field and Gaussian Mixture Model Based Hidden Markov Random Field for Contour Labelling of Exudates in Diabetic Retinopathy—A Comparative Study

10.1007/978-3-030-00665-5_123 ◽

2019 ◽

pp. 1307-1317

Author(s):

E. Revathi Achan ◽

T. R. Swapna

Keyword(s):

Diabetic Retinopathy ◽

Comparative Study ◽

Random Field ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Markov Random Field ◽

Hidden Markov ◽

Gaussian Mixture ◽

Markov Random ◽

Image segmentation for automatic particle identification in electron micrographs based on hidden Markov random field models and expectation maximization

Journal of Structural Biology ◽

10.1016/j.jsb.2003.11.028 ◽

2004 ◽

Vol 145 (1-2) ◽

pp. 123-141 ◽

Cited By ~ 14

Author(s):

V Singh

Keyword(s):

Image Segmentation ◽

Random Field ◽

Electron Micrographs ◽

Markov Random Field ◽

Hidden Markov ◽

Particle Identification ◽

Markov Random ◽

Lecture Notes in Electrical Engineering - Ubiquitous Information Technologies and Applications ◽

Gaussian Mixture Model Based on Hidden Markov Random Field for Color Image Segmentation

10.1007/978-3-642-41671-2_25 ◽

2014 ◽

pp. 189-197

Author(s):

Khoa Anh Tran ◽

Nhat Quang Vo ◽

Tam Thi Nguyen ◽

Gueesang Lee

Keyword(s):

Image Segmentation ◽

Random Field ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Markov Random Field ◽

Color Image ◽

Hidden Markov ◽

Gaussian Mixture ◽

Color Image Segmentation ◽

The spectral-spatial classification of hyperspectral images based on Hidden Markov Random Field and its Expectation-Maximization

2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS ◽

10.1109/igarss.2013.6721358 ◽

2013 ◽

Cited By ~ 3

Author(s):

Pedram Ghamisi ◽

Jon Atli Benediktsson ◽

Magnus O. Ulfarsson

Keyword(s):

Random Field ◽

Markov Random Field ◽

Hidden Markov ◽

Hyperspectral Images ◽

Spatial Classification ◽

Markov Random ◽

A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI

Frontiers in Neuroinformatics ◽

10.3389/fninf.2017.00066 ◽

2017 ◽

Vol 11 ◽

Author(s):

Diego Castillo-Barnes ◽

Ignacio Peis ◽

Francisco J. Martínez-Murcia ◽

Fermín Segovia ◽

Ignacio A. Illán ◽

...

Keyword(s):

Random Field ◽

Markov Random Field ◽

Field Model ◽

Hidden Markov ◽

Random Field Model ◽

Markov Random ◽

Heavy Tailed

Measuring the volume of brain tumour and determining its location in T2-weighted MRI images using hidden Markov random field: expectation maximization algorithm

10.1117/12.2270132 ◽

2017 ◽

Author(s):

Mohd. Zubir Mat Jafri ◽

Hayder Saad Abdulbaqi ◽

Kussay N. Mutter ◽

Iskandar Shahrim Mustapha ◽

Ahmad Fairuz Omar

Keyword(s):

Random Field ◽

Brain Tumour ◽

Markov Random Field ◽

Hidden Markov ◽

Expectation Maximization Algorithm ◽

Markov Random ◽