• DocumentCode
    2836433
  • Title

    Spatial based breast MR images lesion detection and colourisation

  • Author

    Sim, K.S. ; Chia, F.K. ; Chong, S.S. ; Tso, C.P. ; Abbas, Siti Fathimah ; Omar, Sarimah

  • Author_Institution
    Fac. of Eng. & Technol., Multimedia Univ., Ayer Keroh, Malaysia
  • fYear
    2010
  • fDate
    Nov. 30 2010-Dec. 2 2010
  • Firstpage
    101
  • Lastpage
    106
  • Abstract
    In this paper, we designed a Computer-Aided-Diagnosis (CAD) system for lesion detection in breast MR images. The CAD process begins with analysis of MR images to detect the existence of lesion. If lesion exists, it is then coloured based on its type; benign, suspicious or malignant. Our CAD system enables better visualization of the lesions and improves accuracy as well as speed for breast cancer diagnosis.
  • Keywords
    biological organs; biomedical MRI; cancer; feature extraction; gynaecology; image classification; medical image processing; tumours; benign lesion; breast MR images; breast cancer diagnosis; computer aided diagnosis; lesion colourisation; lesion detection; malignant lesion; suspicious lesion; Cancer; Design automation; Educational institutions; Image color analysis; Three dimensional displays; Tumors; Visualization; MRI; breast cancer; lesion detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Sciences (IECBES), 2010 IEEE EMBS Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-7599-5
  • Type

    conf

  • DOI
    10.1109/IECBES.2010.5742208
  • Filename
    5742208