A Review on MR Brain Image Segmentation Based on Different Techniques

Authors

  • Praveen Kumar Prajapati Dept. of CSE & IT, Madhav Institute of Technology and Science, Gwalior, M.P., India
  • Poonam Sharma Dept. of CSE & IT, Madhav Institute of Technology and Science, Gwalior, M.P., India

DOI:

https://doi.org/10.37591/joosdt.v2i2.465

Abstract

In past few years, the growth in Magnetic Resonance Imaging (MRI) provided a new way to detect and diagnose the brain related problems such as Alzheimer, schizophrenia and brain tumor. Many supervised and unsupervised techniques are available for image segmentation. In medical field supervised and unsupervised segmentation both are available but unsupervised is in more demand then supervised because it requires external assistance. Whereas unsupervised segmentation reflects better results. In this paper we present a survey on MRI segmentation using SOM (Self Organizing Map), SOM is based on unsupervised clustering technique. Also present a review of various researchers in the field of MRI Segmentation.

Keywords: Feature extraction, self organizing map, MR image segmentation, unsupervised segmentation

 

Cite this Article
Praveen Kumar Prajapati, Poonam Sharma. A Review on MR Brain Image Segmentation Based on Different Techniques. Journal of Operating Systems Development & Trends. 2015; 2(2): 9–14p.

References

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Published

2016-01-12

Issue

Vol. 2 No. 2 (2015)

Section

Review Articles

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