A segmentation of brain MRI images utilizing intensity and contextual information by Markov random field-Reference-Cited by-同舟云学术

A segmentation of brain MRI images utilizing intensity and contextual information by Markov random field

Published:2017-10-26 Issue:sup1 Volume:22 Page:200-211
ISSN:2469-9322
Container-title:Computer Assisted Surgery
language:en
Short-container-title:Computer Assisted Surgery

Author:

Chen Mingsheng¹,Yan Qingguang²,Qin Mingxin¹

Affiliation:

1. College of Biomedical Engineering, Third Military Medical University, Chongqing, China;

2. State Key Laboratory of Trauma, Burns and Combined Injury, Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, China

Funder

Youth Development Programs in Military Medical Technology

Chongqing Postdoctoral Science Foundation

Third Military Medical University

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Family Practice,Computer Science Applications,Surgery

Link

https://www.tandfonline.com/doi/pdf/10.1080/24699322.2017.1389398

Reference32 articles.

1. A survey of MRI-based medical image analysis for brain tumor studies

2. Challenges and Methodologies of Fully Automatic Whole Heart Segmentation: A Review

3. State of the art survey on MRI brain tumor segmentation

4. Review of brain MRI image segmentation methods

5. Application of Quantitative MRI for Brain Tissue Segmentation at 1.5 T and 3.0 T Field Strengths

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