• DocumentCode
    3496244
  • Title

    Chromosome image recognition with subregion search iteration

  • Author

    Abe, Toru ; Hamada, Chieko ; Kinoshita, Tetsuo

  • Author_Institution
    Cyberscience Center, Tohoku Univ., Sendai, Japan
  • fYear
    2009
  • fDate
    7-10 Nov. 2009
  • Firstpage
    4169
  • Lastpage
    4172
  • Abstract
    To make a visual examination of various chromosome abnormalities, individual chromosome regions have to be determined in an image and classified into distinct chromosome types in advance. We propose a subregion based method to improve this process. The proposed method regards each chromosome region as a series of subregions, and iterates a search for subregions in the subject image consecutively. In this method, chromosome region classification can be performed simultaneously with its determination for each subregion, and the features in subregions can be integrated effectively for recognizing an entire chromosome region.
  • Keywords
    cellular biophysics; image recognition; medical image processing; chromosome image recognition; chromosome region classification; chromosome types; subregion search iteration; Biological cells; Data mining; Genetics; Image recognition; Pattern recognition; Toxicology; Chromosome image; region classification; region determination; subregion search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • Conference_Location
    Cairo
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5414537
  • Filename
    5414537