Cell nucleus segmentation of skin tumor using image processing

Toshiyuki Tanaka, Tomoo Joke, Teruaki Oka

Research output: Contribution to journalConference articlepeer-review

13 Citations (Scopus)


Automation and quantification of diagnosis of tumor cell images have been studied for these three decades in the field of medical imaging technology. Many techniques of image processing were proposed to solve problems such as nucleus segmentation and classification. But these studies have mainly focused on epithelial tumors. Nonepithelial skin tumors such as dermatofibroma (DF) and dermatofibrosarcoma protuberans (DFSP) have not been enough studied. DF is benign tumorous disease and DFSP is mid-grade malignant tumor. Recently, it is necessary that criterion of classification between DF and DFSP is quantitatively specified. In this paper a system for segmenting cell nuclei of DF and DFSP is proposed. Nuclei regions are objectively segmented and surrounded using edges of strength by the system. Segmentation of arbitrary shaped nuclear regions and weakly stained nuclear region is made. A dynamic thresholding method with combining Laplacian histogram with Ohtsu's method is used for segmentation. Segmentation test was done using real tissue cell images of DF and DFSP to evaluate validity of this system. Shape characteristics such as grade of similarity to circle were also computed from the segmented regions to assure that some differences between DF and DFSP is expressed in its distribution.

Original languageEnglish
Pages (from-to)2716-2719
Number of pages4
JournalAnnual Reports of the Research Reactor Institute, Kyoto University
Publication statusPublished - 2001 Dec 1
Event23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, Turkey
Duration: 2001 Oct 252001 Oct 28


  • Cell nucleus
  • Dynamic threshold
  • Laplacian histogram
  • Segmentation
  • Skin tumor

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Mechanical Engineering


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