• DocumentCode
    2519853
  • Title

    MIGRATION AND PROLIFERATION ANALYSIS FOR BLADDER CANCER CELLS

  • Author

    Said, Asaad F. ; Karam, Lina J. ; Berens, Michael E. ; Lacroix, Zoé ; Renaut, Rosemary A.

  • Author_Institution
    Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ
  • fYear
    2007
  • fDate
    12-15 April 2007
  • Firstpage
    320
  • Lastpage
    323
  • Abstract
    This paper presents a cell evolution analysis (CEA) scheme for bladder cancer cells. The proposed scheme consists of a cell migration analysis component for computing the overall migration rate of the cell cluster, and a cell proliferation analysis component based on counting the individually segmented cells within the cell cluster at different time points. The proposed CEA scheme performs well for images with poor contrast and high cell concentrations, even when the cells are overlapping and small. Results are presented to illustrate the performance of the proposed scheme
  • Keywords
    biological organs; cancer; cell motility; image segmentation; medical image processing; tracking; bladder cancer cells; cell cluster; cell counting; cell evolution analysis; cell migration analysis; cell migration rate; cell proliferation analysis; high cell concentrations; poor-contrast images; segmented cells; Background noise; Bladder; Cancer; Clustering algorithms; Genomics; Image analysis; Image processing; Image segmentation; Microscopy; Stem cells;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    1-4244-0672-2
  • Electronic_ISBN
    1-4244-0672-2
  • Type

    conf

  • DOI
    10.1109/ISBI.2007.356853
  • Filename
    4193287