publication . Article . Other literature type . 2016

MRI Brain Tumor Segmentation Methods- A Review

Gursangeet, Kaur; Jyoti, Rani;
Open Access
  • Published: 30 Oct 2016
Abstract
Medical image processing and its segmentation is an active and interesting area for researchers. It has reached at the tremendous place in diagnosing tumors after the discovery of CT and MRI. MRI is an useful tool to detect the brain tumor and segmentation is performed to carry out the useful portion from an image. The purpose of this paper is to provide an overview of different image segmentation methods like watershed algorithm, morphological operations, neutrosophic sets, thresholding, K-means clustering, fuzzy C-means etc using MR images. <br>
Subjects
free text keywords: Brain tumor, MRI
Download fromView all 2 versions
ZENODO
Article . 2016
Provider: ZENODO
Zenodo
Other literature type . 2016
Provider: Datacite
Powered by OpenAIRE Open Research Graph
Any information missing or wrong?Report an Issue
publication . Article . Other literature type . 2016

MRI Brain Tumor Segmentation Methods- A Review

Gursangeet, Kaur; Jyoti, Rani;