@inproceedings{00464908d3af4d5f876e767fecdce556,
title = "Optimising the performance of soft computing agents for classification of unstained mammalian cell images",
abstract = "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.",
keywords = "Computer networks, Control system synthesis, Distributed control, Humans, Image analysis, Image processing, Image segmentation, Neural networks, Pathology, Symbiosis",
author = "R. Khosla and C. Lai and Y. Mitsukura",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE. Copyright: Copyright 2015 Elsevier B.V., All rights reserved.; 2003 IEEE International Symposium on Computational Intelligence for Measurement Systems and Applications, CIMSA 2003 ; Conference date: 29-07-2003 Through 31-07-2003",
year = "2003",
doi = "10.1109/CIMSA.2003.1227221",
language = "English",
series = "IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Proceedings",
publisher = "IEEE Computer Society",
pages = "163--168",
booktitle = "CIMSA 2003 - 2003 IEEE International Symposium on Computational Intelligence for Measurement Systems and Applications",
}