Segmentation of Brain MR Images by Using Fully Convolutional Network and Gaussian Mixture Model with Spatial Constraints

Segmentation of Brain MR Images by Using Fully Convolutional Network and Gaussian Mixture Model with Spatial Constraints

Accurate segmentation of brain tissue from magnetic resonance images (MRIs) is a critical task for diagnosis, treatment, and clinical research. In this paper, a novel algorithm (GMMD-U) that incorporates the modified full convolutional neural network U-net and Gaussian-Dirichlet mixture model (GMMD)...

Full description

Bibliographic Details
Main Authors:	Jiawei Lai, Hongqing Zhu, Xiaofeng Ling
Format:	Article
Language:	English
Published:	Hindawi Limited 2019-01-01
Series:	Mathematical Problems in Engineering
Online Access:	http://dx.doi.org/10.1155/2019/4625371

Similar Items

A Modified Robust FCM Model with Spatial Constraints for Brain MR Image Segmentation
by: Jianhua Song, et al.
Published: (2019-02-01)

Spatial Finite Non-Gaussian Mixtures for Color Image Segmentation
by: Sefidpour, Ali
Published: (2011)

Mixture Segmentation of Multispectral MR Brain Images for Multiple Sclerosis
by: Lihong Li, et al.
Published: (2005-04-01)

Image Segmentation Using a Trimmed Likelihood Estimator in the Asymmetric Mixture Model Based on Generalized Gamma and Gaussian Distributions
by: Yi Zhou, et al.
Published: (2018-01-01)

Fully automated segmentation of the pons and midbrain using human T1 MR brain images.
by: Salvatore Nigro, et al.
Published: (2014-01-01)

Brain Tumor MR Image Classification Using Convolutional Dictionary Learning With Local Constraint
by: Xiaoqing Gu, et al.
Published: (2021-05-01)

Segmentation of PET/CT Images Using Spatial Dependence in Gaussian Mixture Model
by: Chen, Liang-Xun, et al.
Published: (2010)

Brain Tissue Segmentation and Bias Field Correction of MR Image Based on Spatially Coherent FCM with Nonlocal Constraints
by: Jianhua Song, et al.
Published: (2019-01-01)

Image Segmentation using Gaussian Mixture Model
by: R. Farnoosh, et al.
Published: (2008-03-01)

IMAGE SEGMENTATION USING GAUSSIAN MIXTURE MODEL
by: Rahman Farnoosh, et al.
Published: (2008-03-01)

Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks
by: Guangming Wu, et al.
Published: (2018-03-01)

Segmentation of Overlapped Cervical Cells Using Asymmetric Mixture Model and Shape Constraint Level Set Method
by: Yiming Huang, et al.
Published: (2020-01-01)

Fully Convolutional Networks for Mammogram Segmentation
by: Carlsson, Hampus
Published: (2019)

Unsupervised Segmentation of Spectral Images with a Spatialized Gaussian Mixture Model and Model Selection
by: Cohen S.X., et al.
Published: (2014-03-01)

Fully Convolutional Networks (FCNs) for Medical Image Segmentation
by: Zhewei, Wang
Published: (2020)

Multigrid Nonlocal Gaussian Mixture Model for Segmentation of Brain Tissues in Magnetic Resonance Images
by: Yunjie Chen, et al.
Published: (2016-01-01)

CEREBRUM-7T: Fast and Fully Volumetric Brain Segmentation of 7 Tesla MR Volumes
by: Benini, S., et al.
Published: (2021)

A New Hybrid Brain MR Image Segmentation Algorithm With Super-Resolution, Spatial Constraint-Based Clustering and Fine Tuning
by: Jing Xia, et al.
Published: (2020-01-01)

A Rough Set Bounded Spatially Constrained Asymmetric Gaussian Mixture Model for Image Segmentation.
by: Zexuan Ji, et al.
Published: (2017-01-01)

Parallel Fully Convolutional Network for Semantic Segmentation
by: Jian Ji, et al.
Published: (2021-01-01)

Fully Convolutional Pyramidal Networks for Semantic Segmentation
by: Fengxiao Li, et al.
Published: (2020-01-01)

Segmentation of the Brain from MR Images
by: Caesar, Jenny
Published: (2005)

Infarct Region Segmentation in Rat Brain MR Images after Stroke Based on Convolutional Neural Networks
by: Hsiao-Fu Kuo, et al.
Published: (2018)

Loss Weightings for Improving Imbalanced Brain Structure Segmentation Using Fully Convolutional Networks
by: Takaaki Sugino, et al.
Published: (2021-07-01)

GAUSSIAN MIXTURE MODEL AND RJMCMC BASED RS IMAGE SEGMENTATION
by: X. Shi, et al.
Published: (2017-09-01)

Image Retrieval Based on Multiview Constrained Nonnegative Matrix Factorization and Gaussian Mixture Model Spectral Clustering Method
by: Qunyi Xie, et al.
Published: (2016-01-01)

Bayesian Fully Convolutional Networks for Brain Image Registration
by: Kunpeng Cui, et al.
Published: (2021-01-01)

Multi-task fully convolutional networks for building segmentation on SAR image
by: Zenghui Zhang, et al.
Published: (2019-09-01)

Snow Avalanche Segmentation in SAR Images With Fully Convolutional Neural Networks
by: Filippo Maria Bianchi, et al.
Published: (2021-01-01)

RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation
by: Juan Miguel Valverde, et al.
Published: (2020-12-01)

Quantitative Analysis of Patch-Based Fully Convolutional Neural Networks for Tissue Segmentation on Brain Magnetic Resonance Imaging
by: Jose Bernal, et al.
Published: (2019-01-01)

Supervoxel Segmentation with Voxel-Related Gaussian Mixture Model
by: Zhihua Ban, et al.
Published: (2018-01-01)

Fully Convolutional Neural Network with Augmented Atrous Spatial Pyramid Pool and Fully Connected Fusion Path for High Resolution Remote Sensing Image Segmentation
by: Guangsheng Chen, et al.
Published: (2019-05-01)

Convolutional Neural Networks for Background Subtraction with Gaussian mixture background models
by: Ting-Yuan Lin, et al.
Published: (2017)

Fully automatic segmentation of short and long axis cine cardiac MR
by: Breeuwer Marcel, et al.
Published: (2009-01-01)

Content-Based Superpixel Matching Using Spatially Constrained Student’s-t Mixture Model and Scale-Invariant Key-Superpixels
by: Pengyu Wang, et al.
Published: (2020-01-01)

Gaussian Mixture Model Based Probabilistic Modeling of Images for Medical Image Segmentation
by: Farhan Riaz, et al.
Published: (2020-01-01)

Class-Wise Fully Convolutional Network for Semantic Segmentation of Remote Sensing Images
by: Tian Tian, et al.
Published: (2021-08-01)

Chinese Character Segmentation via Fully Convolutional Neural Network
by: Po-Wei Hsieh, et al.
Published: (2019)

The Segmentation of Liver and Lesion Using Fully Convolution Neural Networks
by: ZHENG, YOU-TING, et al.
Published: (2017)