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Authors: Tuan D. Pham 1 and Xiaobo Zhou 2

Affiliations: 1 University of New South Wales, Australia ; 2 Methodist Hospital Research Institute, United States

Keyword(s): Permanence of ratio, Information fusion, Pattern classification, Cellular phenotypes, Bio-imaging.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Bioinformatics ; Biomedical Engineering ; Biomedical Signal Processing ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

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 several formats:
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 (BIOSTEC 2010) - BIOSIGNALS; ISBN 978-989-674-018-4; ISSN 2184-4305, SciTePress, pages 202-207. DOI: 10.5220/0002707902020207

@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 (BIOSTEC 2010) - BIOSIGNALS},
year={2010},
pages={202-207},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002707902020207},
isbn={978-989-674-018-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2010) - BIOSIGNALS
TI - RATIO-HYPOTHESIS-BASED FUZZY FUSIONWITH APPLICATION TO CLASSIFICATION OF CELLULAR MORPHOLOGIES
SN - 978-989-674-018-4
IS - 2184-4305
AU - D. Pham, T.
AU - Zhou, X.
PY - 2010
SP - 202
EP - 207
DO - 10.5220/0002707902020207
PB - SciTePress