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

R. Khosla, C. Lai, Yasue Mitsukura

研究成果: Conference contribution

抜粋

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.

元の言語English
ホスト出版物のタイトルIEEE International Conference on Computational Intelligence for Measurement Systems and Applications Proceedings
出版者IEEE Computer Society
ページ163-168
ページ数6
2003-January
ISBN(印刷物)0780377834
DOI
出版物ステータスPublished - 2003
外部発表Yes
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 292003 7 31

Other

Other2003 IEEE International Symposium on Computational Intelligence for Measurement Systems and Applications, CIMSA 2003
Switzerland
Lugano
期間03/7/2903/7/31

    フィンガープリント

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

これを引用

Khosla, R., Lai, C., & Mitsukura, Y. (2003). Optimising the performance of soft computing agents for classification of unstained mammalian cell images. : IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Proceedings (巻 2003-January, pp. 163-168). [1227221] IEEE Computer Society. https://doi.org/10.1109/CIMSA.2003.1227221