Fast and robust brain tumor segmentation using level set method with multiple image information-Reference-Cited by-同舟云学术

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Fast and robust brain tumor segmentation using level set method with multiple image information

Published:2017-03-21 Issue:2 Volume:25 Page:301-312
ISSN:0895-3996
Container-title:Journal of X-Ray Science and Technology
language:
Short-container-title:XST

Author:

Lok Ka Hei¹,Shi Lin²³,Zhu Xianlun⁴,Wang Defeng¹⁵

Affiliation:

1. Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong

2. Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong

3. Chow Yuk Ho Technology Centre for Innovative Medicine, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong

4. Department of Surgery, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong

5. Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China

Publisher

IOS Press

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Radiology, Nuclear Medicine and imaging,Instrumentation,Radiation

Reference27 articles.

1. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS);Menze;IEEE Transactions on Medical Imaging,2015

2. Robust kernelized local information fuzzy C-means clustering for brain magnetic resonance image segmentation;Elazab;Journal of X-ray Science and Technology,2016

3. A survey of MRI-based medical image analysis for brain tumor studies;Bauer;Physics in Medicine and Biology,2013

4. Diagnostic performance of spectroscopic and perfusion MRI for distinction of brain tumors;Weber;Neurology,2006

5. State of the art survey on MRI brain tumor segmentation;Gordillo;Magnetic Resonance Imaging,2013

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