Classification of skin tumors based on shape features of nuclei

Toshiyuki Tanaka, Yoko Murase, Teruaki

研究成果: Conference article査読

2 被引用数 (Scopus)


In this paper, an automated system to segment cell nuclei of dermatofibroma (DF) and dermatofibrosarcoma protuberans (DFSP) is proposed. It is difficult to segment nuclear regions accurately, because there exists a lot of ambiguous nuclei. Objective of the system is to segment nuclear regions objectively and in some accuracy. In the system, regions to be segmented are defined as regions that are surrounded by edges of certain strength. Under this restriction, arbitrary shaped nuclear regions and weakly stained nuclear regions are possible to be extracted. At first, contrast emphasis using hue is done as preprocessing. Image binarization is done by a dynamic thresholding method with implementation of Laplacian-histogram method and Otsu□fs thresholding method. At last, Separation of the overlapping nuclei is carried out by watershed algorithm. To evaluate availability of this system, segmentation test was done using real tissue cell images of DF and DFSP. From some features computed from the segmented nuclear regions, an automated classification of benign tumor or malignant tumor is finally performed.

ジャーナルAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
出版ステータスPublished - 2002
イベントProceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States
継続期間: 2002 10月 232002 10月 26

ASJC Scopus subject areas

  • 信号処理
  • 生体医工学
  • コンピュータ ビジョンおよびパターン認識
  • 健康情報学


「Classification of skin tumors based on shape features of nuclei」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。