• DocumentCode
    3579292
  • Title

    Quality enhancement technique for gray level immunohistochemistry images

  • Author

    Smitha, P ; Shajy, L ; Marichami, P.

  • Author_Institution
    Department of CSE, College of Engineering, Karunagappally, Kollam, Kerala, India
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Study of breast cancer through Immunohistochemistry (IHC) images are focused in this paper. In IHC technique it detects the specific type of proteins from sample tissue sections. The qualitative analysis of tissue is done through the visual inspection and manual staining method. The perception of pathologist is a considering factor in this case. The differences in staining methods may provide various results by different pathologist. So an enhancement technique, suitable to improve the quality of the images is a major challenge in cytopathology. In this paper we discus different enhancement techniques suitable to enhance the IHC images. Segmentation can be done properly with an efficient enhancement technique. The features can easily be extracted from properly enhanced and segmented image. Better feature leads to efficient grading of malignant cells.
  • Keywords
    Breast cancer; Brightness; Entropy; Histograms; Image color analysis; Image segmentation; Immune system; Contrast enhancement; Histogram Equalization; Immunohistochemistry; segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on
  • Print_ISBN
    978-1-4799-3974-9
  • Type

    conf

  • DOI
    10.1109/ICCIC.2014.7238496
  • Filename
    7238496