Pattern classification of nevus with texture analysis

T. Tanaka, S. Torii, I. Kabuta, K. Shimizu, M. Tanaka, H. Oka

研究成果: Conference article査読

11 被引用数 (Scopus)

抄録

The purpose of this research is to classify the pattern on the surface of the nevus. The digital image that contains one nevus is classified into three kinds of patterns of homogeneous pattern, globular pattern, and reticular pattern by the texture analysis. The tumor part in the image is specified first, and the specified tumor part is divided into some sub-images. Afterwards, the amount of the texture features of each sub-image was calculated. The pattern was classified by the discriminant analysis based on the amount of the texture features. As a result, the patterns could be classified correctly into three categories at the ratio of 94%.

本文言語English
ページ(範囲)1459-1462
ページ数4
ジャーナルAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
26 II
出版ステータスPublished - 2004 12 1
イベントConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States
継続期間: 2004 9 12004 9 5

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

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