RATIO-HYPOTHESIS-BASED FUZZY FUSIONWITH APPLICATION TO CLASSIFICATION OF CELLULAR MORPHOLOGIES

Tuan D. Pham, Xiaobo Zhou

2010

Abstract

Fusion of knowledge from multiple sources for pattern recognition has been an active area of research in many scientific disciplines. This paper presents a fuzzy version of a probabilistic fusion scheme, known as permanence-of-ratio-based combination, with application to analysis of cellular imaging for high-content screening. Classification of cellular phenotypes has been carried out to illustrate the usefulness of the permanence-of-ratio-based fuzzy fusion.

Paper Citation

in Harvard Style

D. Pham T. and Zhou X. (2010). RATIO-HYPOTHESIS-BASED FUZZY FUSIONWITH APPLICATION TO CLASSIFICATION OF CELLULAR MORPHOLOGIES . In Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010) ISBN 978-989-674-018-4, pages 202-207. DOI: 10.5220/0002707902020207

in Bibtex Style

@conference{biosignals10,
author={Tuan D. Pham and Xiaobo Zhou},
title={RATIO-HYPOTHESIS-BASED FUZZY FUSIONWITH APPLICATION TO CLASSIFICATION OF CELLULAR MORPHOLOGIES},
booktitle={Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)},
year={2010},
pages={202-207},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002707902020207},
isbn={978-989-674-018-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)
TI - RATIO-HYPOTHESIS-BASED FUZZY FUSIONWITH APPLICATION TO CLASSIFICATION OF CELLULAR MORPHOLOGIES
SN - 978-989-674-018-4
AU - D. Pham T.
AU - Zhou X.
PY - 2010
SP - 202
EP - 207
DO - 10.5220/0002707902020207