Authors :
S.U Aswathy, Sreevidya P Menon, Dr.G.Glan Devadhas, Dr.S.S.Kumar
Volume/Issue :
Volume 2 - 2017, Issue 6 - June
Google Scholar :
https://goo.gl/U9uQi5
Scribd :
https://goo.gl/N1Fx6Z
Thomson Reuters ResearcherID :
https://goo.gl/3bkzwv
Abstract :
At present, in medical image processing brain tumor detection and segmentation is a very fast growing and challenging task in the field of research due to its complex structure and shape. Tumor location is an important factor that affects the individual functioning. Segmentation plays a vital role in detecting the tumour region correctly there by helping the radiologist to analyse the tumour region. For the diagnosis of brain tumour region MRI (magnetic resonance imaging ) is usually preferred due to its unchallenging advantages in the image quality. Existing literature suggests a robust method for extraction of brain tumor is yet to be developed.
Keywords :
Resonance image, Segmentation, Detection, Fuzzy c mean, Level se.t
At present, in medical image processing brain tumor detection and segmentation is a very fast growing and challenging task in the field of research due to its complex structure and shape. Tumor location is an important factor that affects the individual functioning. Segmentation plays a vital role in detecting the tumour region correctly there by helping the radiologist to analyse the tumour region. For the diagnosis of brain tumour region MRI (magnetic resonance imaging ) is usually preferred due to its unchallenging advantages in the image quality. Existing literature suggests a robust method for extraction of brain tumor is yet to be developed.
Keywords :
Resonance image, Segmentation, Detection, Fuzzy c mean, Level se.t
