Study on diagnosis of gastric tumors using feature parameter

Yoshitaka Uchino, Toshiyuki Tanaka, Teruaki Oka

研究成果: Paper査読

1 被引用数 (Scopus)

抄録

At present, pathologists diagnose gastric tumor subjectively by atypism, pleomorphism and so on. Therefore the diagnosis are different by each of pathologists. In this paper, we propose a method to find differences among benign and malignant tumors, and gastric adenoma for the purpose of helping pathologists diagnose gastric tumors objectively. We extract nucleus and cytoplasm region from tissue images, and calculate feature parameters of them by image processing. By evaluating distribution of feature parameters from discriminant analysis, we find out the objective feature parameters for diagnosis.

本文言語English
ページ403-406
ページ数4
出版ステータスPublished - 2004 12 1
イベントSICE Annual Conference 2004 - Sapporo, Japan
継続期間: 2004 8 42004 8 6

Other

OtherSICE Annual Conference 2004
CountryJapan
CitySapporo
Period04/8/404/8/6

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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