DocumentCode :
678502
Title :
Tumour detection in brain MRI using improved segmentation algorithm
Author :
Kumar, E. Praveen ; Kumar, V. Manoj ; Sumithra, M.G.
fYear :
2013
fDate :
4-6 July 2013
Firstpage :
1
Lastpage :
7
Abstract :
In the present days, for the human body anatomical study and for the treatment planning medical science very much depend on the medical imaging technology and medical images. Specifically for the human brain, MRI widely prefers and using for the imaging. But by nature medical images are complex and noisy. This leads to the necessity of processes that reduces difficulties in analysis and improves quality of output. This paper discuss about an improved segmentation algorithm for different defects detection in brain MRI (Tumour) and have compared the performance of this method with conventional method.
Keywords :
biomedical MRI; brain; image denoising; image segmentation; medical image processing; tumours; brain MRI; defect detection; human body anatomical study; human brain; improved segmentation algorithm; medical imaging technology; medical science; treatment planning; tumour detection; Biomedical imaging; Image segmentation; Magnetic resonance imaging; Noise; Noise reduction; Tumors; Volume measurement; Image segmentation; Magnetic Resonance Imaging; tumour;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on
Conference_Location :
Tiruchengode
Print_ISBN :
978-1-4799-3925-1
Type :
conf
DOI :
10.1109/ICCCNT.2013.6726575
Filename :
6726575
Link To Document :
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