• 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