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

### Tuan D. Pham, Xiaobo Zhou

#### 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.

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#### 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