Journal article Open Access

MRI Brain Tumor Segmentation Methods- A Review

Gursangeet, Kaur; Jyoti, Rani

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.  
 

Files (495.9 kB)
Name Size
MRIBrainTumorSegmentation.pdf
md5:1cced0ed2962206ae6ffc5bd3dc081ae
495.9 kB Download
36
31
views
downloads
All versions This version
Views 3636
Downloads 3131
Data volume 15.4 MB15.4 MB
Unique views 3535
Unique downloads 2929

Share

Cite as