• DocumentCode
    3569375
  • Title

    An automated clump decomposition system for cervical tissue sections

  • Author

    Jin, X.C. ; Yeo, T.T.E. ; Ong, S.H. ; Jayasooriah ; Sinniah, R.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
  • fYear
    1994
  • Firstpage
    720
  • Abstract
    This paper presents an automated clump decomposition system for the image analysis of cervical tissue sections. The system consists of two parts: the training stage and the decomposition stage. The basis of the system is a clump splitting method which analyzes concavities to determine split points
  • Keywords
    biology computing; cellular biophysics; image segmentation; learning (artificial intelligence); automated clump decomposition system; cervical cancer cell nuclei; cervical tissue sections; clump splitting method; concavities; cytological images; decomposition stage; histological images; image analysis; split points; training stage; Algorithm design and analysis; Bismuth; Computer science; Image analysis; Image segmentation; Image sequence analysis; Microscopy; Morphological operations; Pathology; Size measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
  • Print_ISBN
    0-7803-2050-6
  • Type

    conf

  • DOI
    10.1109/IEMBS.1994.412184
  • Filename
    412184