IJERT-EMS
IJERT-EMS

A Review on Brain Tumor Segmentation


A Review on Brain Tumor Segmentation
Authors : Sunitha S, Santhoshi Sukumaran
Publication Date: 10-04-2014

Authors

Author(s):  Sunitha S, Santhoshi Sukumaran

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol. 3 - Issue 4 (April- 2014)

e-ISSN:   2278-0181

Abstract

Manually detecting and segmenting brain tumors from brain MRI, in cases where a large number of MRI scans are taken for each patient, is tedious and subjected to inter and intra observer detection and segmentation variability. Therefore, there is a need for computer aided brain tumor detection and segmentation from brain MR images to overcome the tedium and observer variability involved in the manual segmentation. A number of methods have been proposed in recent years to fill this gap, but still there is no commonly accepted automated technique for use in clinical floor by clinicians due to accuracy and robustness issues. This paper, presents a review of the methods used for MRI brain tumor segmentation. The review covers imaging modalities, magnetic resonance imaging and methods for noise reduction and segmentation approaches.

Citations

Number of Citations for this article:  Data not Available

Keywords

Key Word(s):    

Downloads

Number of Downloads:     360
Similar-Paper

Call for Papers - May - 2017

        

 

                 Call for Thesis - 2017 

     Publish your Ph.D/Master's Thesis Online

              Publish Ph.D Master Thesis Online as Book