STAINING PATTERN CLASSIFICATION IN ANTINUCLEAR AUTOANTIBODIES TESTING

Paolo Soda, Giulio Iannello

2008

Abstract

In Indirect Immunofluorescence (IIF) the use of Computer-Aided Diagnosis (CAD) tools can support physicians’ estimation of both fluorescence intensity and staining pattern. This paper reports our experiences in the staining pattern recognition of IIF wells. Since several cells constitute each well, we have developed a Multiple Expert System (MES) based on the one-per-class approach devised to classify the pattern of individual cells. As a novelty, we introduce an aggregation rule based on the estimation of the reliability of each composing experts. Then, the whole well staining pattern is computed using the reliability of its cells classification. The approach has been successfully tested on an annotated set of IIF images.

Paper Citation

in Harvard Style

Soda P. and Iannello G. (2008). STAINING PATTERN CLASSIFICATION IN ANTINUCLEAR AUTOANTIBODIES TESTING . In Proceedings of the First International Conference on Health Informatics - Volume 2: HEALTHINF, (BIOSTEC 2008) ISBN 978-989-8111-16-6, pages 231-236. DOI: 10.5220/0001037702310236

in Bibtex Style

@conference{healthinf08,
author={Paolo Soda and Giulio Iannello},
title={STAINING PATTERN CLASSIFICATION IN ANTINUCLEAR AUTOANTIBODIES TESTING},
booktitle={Proceedings of the First International Conference on Health Informatics - Volume 2: HEALTHINF, (BIOSTEC 2008)},
year={2008},
pages={231-236},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001037702310236},
isbn={978-989-8111-16-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Health Informatics - Volume 2: HEALTHINF, (BIOSTEC 2008)
TI - STAINING PATTERN CLASSIFICATION IN ANTINUCLEAR AUTOANTIBODIES TESTING
SN - 978-989-8111-16-6
AU - Soda P.
AU - Iannello G.
PY - 2008
SP - 231
EP - 236
DO - 10.5220/0001037702310236