Classification of sarcomas using textural features

T. Tanaka, Y. Murase

研究成果: Conference article査読

2 被引用数 (Scopus)

抄録

This paper deals with classification of sarcomas using textural features. We assume that sarcomas have single texture and the same scale is used for photographing sarcoma's images. 80 sorts of sarcomas are selected under those assumptions. First, we make database of templates of sarcomas using textural features. The intensity histogram, Fourier power spectrum, run-length matrix, fractal dimension and co-occurrence matrix are used as textural features. Second, sarcomas are collated by using template matching between unknown samples and the templates in the database. The success rate reached 92%. The result of this experiment shows the adequateness of proposed system.

本文言語English
ページ(範囲)682-685
ページ数4
ジャーナルAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
1
出版ステータスPublished - 2000 12月 1
イベント22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Chicago, IL, United States
継続期間: 2000 7月 232000 7月 28

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

フィンガープリント

「Classification of sarcomas using textural features」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。

引用スタイル