Study on diagnosis of gastric tumors using feature parameter

Yoshitaka Uchino, Toshiyuki Tanaka, Teruaki Oka

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages403-406
Number of pages4
Publication statusPublished - 2004 Dec 1
EventSICE Annual Conference 2004 - Sapporo, Japan
Duration: 2004 Aug 42004 Aug 6

Other

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

Keywords

  • Feature parameter
  • Gastric tumor
  • Image diagnosis

ASJC Scopus subject areas

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

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