Optimising the performance of soft computing agents for classification of unstained mammalian cell images

R. Khosla, C. Lai, Y. Mitsukura

研究成果: Conference contribution

抄録

Most existing approaches for determining serious pathological conditions involve analysis of stained images of human tissue. In this paper we describe a multi-agent distributed control system model for image processing of unstained human (mammalian) cell images. The control system model develops a symbiotic relationship between soft computing agents like neural networks and water immersion and morphological agents for segmentation and classification of cells in unstained Chinese hamster ovarian image samples.

本文言語English
ホスト出版物のタイトルCIMSA 2003 - 2003 IEEE International Symposium on Computational Intelligence for Measurement Systems and Applications
出版社IEEE Computer Society
ページ163-168
ページ数6
ISBN(電子版)0780377834
DOI
出版ステータスPublished - 2003
外部発表はい
イベント2003 IEEE International Symposium on Computational Intelligence for Measurement Systems and Applications, CIMSA 2003 - Lugano, Switzerland
継続期間: 2003 7月 292003 7月 31

出版物シリーズ

名前IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Proceedings
2003-January
ISSN(印刷版)2159-1547
ISSN(電子版)2159-1555

Other

Other2003 IEEE International Symposium on Computational Intelligence for Measurement Systems and Applications, CIMSA 2003
国/地域Switzerland
CityLugano
Period03/7/2903/7/31

ASJC Scopus subject areas

  • 人工知能
  • 制御およびシステム工学

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