• DocumentCode
    3684796
  • Title

    Automated segmentation of regions of interest in whole slide skin histopathological images

  • Author

    Hongming Xu;Cheng Lu;Mrinal Mandal

  • Author_Institution
    Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada T6G 2V4
  • fYear
    2015
  • Firstpage
    3869
  • Lastpage
    3872
  • Abstract
    In the diagnosis of skin melanoma by analyzing histopathological images, the epidermis and epidermis-dermis junctional areas are regions of interest as they provide the most important histologic diagnosis features. This paper presents an automated technique for segmenting epidermis and dermis regions from whole slide skin histopathological images. The proposed technique first performs epidermis segmentation using a thresholding and thickness measurement based method. The dermis area is then segmented based on a predefined depth of segmentation from the epidermis outer boundary. Experimental results on 66 different skin images show that the proposed technique can robustly segment regions of interest as desired.
  • Keywords
    "Image segmentation","Epidermis","Dermis","Malignant tumors","Thickness measurement","Image color analysis"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7319238
  • Filename
    7319238