Detection of Breast Carcinoma Regions Using Artificial Organisms

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概要

• 論文の詳細を見る

• This paper describes a new region segmentation method which is detectable carcinoma regions from hematoxylin and eosin (HE)-stained breast tumor images using collective behaviors of artificial organisms. In this model, the movement characteristics of artificial organisms are controlled by the gene, and the adaptive behavior of artificial organisms in the environment, carcinoma regions or not, is evaluated by the texture features.

• 社団法人電子情報通信学会の論文
• 1996-11-25

著者

• Fujisawa Yasunori

  Clinical Laboratory Muroran City General Hospital

• UOZUMI Takashi

  Faculty of Technology, Muroran Institute of Technology

• ONO Koichi

  Faculty of Technology, Muroran Institute of Technology

• Ono K

  Muroran Inst. Technol. Muroran‐shi Jpn

• Okii H

  Muroran Inst. Technol. Muroran‐shi Jpn

• Uozumi T

  Muroran Inst. Technol. Muroran‐shi Jpn

• Uozumi Takashi

  Faculty Of Technology Muroran Institute Of Technology

• OKII Hironori

  Faculty of Technology, Muroran Institute of Technology

• Ono Koichi

  Faculty Of Technology Muroran Institute Of Technology

関連論文

• Automatic Feature Extraction from Breast Tumor Images Using Artificial Organisms
• Electroluminescence in Perylene-and-Tetracene-Doped Anthracene Films
• Electroluminescence in Perylene-Doped Anthracene Films : The Ambient Gas Effect in the Emission Process
• Feature Extraction for Classification of Breast Tumor Images Using Artificial Organisms
• Automatic Detection of Nuclei Regions from HE-Stained Breast Tumor Images Using Artificial Organisms
• Detection of Breast Carcinoma Regions Using Artificial Organisms
• Automatic Color Segmentation Method Using a Neural Network Model for Stained Images

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