• DocumentCode
    3700074
  • Title

    Segmentation of cytological and histological images of breast cancer cells

  • Author

    Oleg Berezsky;Yuriy Batko;Grigoriy Melnyk;Sergiy Verbovyy;Lilia Haida

  • Author_Institution
    Ternopil National Economic University, 11, Lviska st., Ternopil, 46020 Ukraine
  • Volume
    1
  • fYear
    2015
  • Firstpage
    287
  • Lastpage
    292
  • Abstract
    Comparative analysis of the biomedical image segmentation methods is presented in this paper. The segmentation methods are offered on the basis of previous labeling and spatial moments. Experimental results show that the developed methods have higher accuracy by signal-noise ratio (up to 40%) compared to the nowadays known.
  • Keywords
    "Image segmentation","Labeling","Classification algorithms","Image color analysis","Brightness","Algorithm design and analysis","Biomedical imaging"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2015 IEEE 8th International Conference on
  • Print_ISBN
    978-1-4673-8359-2
  • Type

    conf

  • DOI
    10.1109/IDAACS.2015.7340745
  • Filename
    7340745
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3700074