• DocumentCode
    3306307
  • Title

    Colon cancer diagnosis on digital tissue images

  • Author

    Kerekes, Zoltan ; Toth, Zoltan ; Szenasi, S. ; Vamossy, Zoltan ; Sergyan, Szabolcs

  • Author_Institution
    Inst. of Software Eng., Obuda Univ., Budapest, Hungary
  • fYear
    2013
  • fDate
    8-10 July 2013
  • Firstpage
    159
  • Lastpage
    163
  • Abstract
    The purpose of this project is to develop a software which can be an aid for difficult colon cancer diagnosis and using this system the patients can be helped with an early diagnosis. The aim can be achieved with processing and analysing microscopic tissue images. This paper contains the basic knowledges related to the project and the description of the developed system. The implemented algorithms determines the locations and features of glands and save these information for the subsequent diagnosis. One of the most important algorithm in this project is the Color Structure Code, which performs a color based segmentation and the output is the starting point of the further process.
  • Keywords
    biological tissues; cancer; image colour analysis; image segmentation; medical image processing; patient diagnosis; colon cancer diagnosis; color based segmentation; color structure code; digital tissue images; medical image processing; microscopic tissue images; software development; Algorithm design and analysis; Cancer; Colon; Colored noise; Glands; Image color analysis; Image segmentation; colon cancer diagnosis; gland detection; medical image processing; nucleus detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Cybernetics (ICCC), 2013 IEEE 9th International Conference on
  • Conference_Location
    Tihany
  • Print_ISBN
    978-1-4799-0060-2
  • Type

    conf

  • DOI
    10.1109/ICCCyb.2013.6617580
  • Filename
    6617580