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Authors: Aymeric Histace 1 ; Elizabeth Bonnefoye 1 ; Luis Garrido 2 ; Bogdan J. Matuszewski 3 and Mark Murphy 4

Affiliations: 1 Cergy-Pontoise University, France ; 2 Universitat de Barcelona, Spain ; 3 University of Central Lancashire, United Kingdom ; 4 Liverpool John Moores University, United Kingdom

ISBN: 978-989-758-011-6

Keyword(s): Image Segmentation, Active Contours, Approximate Entropy, Confocal Microscopy.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Medical Image Detection, Acquisition, Analysis and Processing

Abstract: Segmentation of cellular structures is of primary interest in cell imaging for cell shape reconstruction and to provide crucial information about possible cell morphology changes during radiotherapy for instance. From the particular perspective of predictive oncology, this paper reports on a novel method for membrane segmentation from single channel actin tagged fluorescence confocal microscopy images, which remains a challenging task. Proposed method is based on the use of the Approximate Entropy formerly introduced by Pincus embedded within a Geodesic Active Contour approach. Approximate Entropy can be seen as an estimator of the regularity of a particular sequence of values and, consequently, can be used as an edge detector. In this prospective study, a preliminary study on Approximate Entropy as an edge detector function is first proposed with a particular focus on the robustness to noise, and some promising membrane segmentation results obtained on confocal microscopy images are also shown. (More)

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Paper citation in several formats:
Histace, A.; Histace, A.; Bonnefoye, E.; Garrido, L.; Matuszewski, B. and Murphy, M. (2014). Active Contour Segmentation based on Approximate Entropy - Application to Cell Membrane Segmentation in Confocal Microscopy.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2014) ISBN 978-989-758-011-6, pages 270-277. DOI: 10.5220/0004903002700277

@conference{biosignals14,
author={Aymeric Histace. and Aymeric Histace. and Elizabeth Bonnefoye. and Luis Garrido. and Bogdan J. Matuszewski. and Mark Murphy.},
title={Active Contour Segmentation based on Approximate Entropy - Application to Cell Membrane Segmentation in Confocal Microscopy},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2014)},
year={2014},
pages={270-277},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004903002700277},
isbn={978-989-758-011-6},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2014)
TI - Active Contour Segmentation based on Approximate Entropy - Application to Cell Membrane Segmentation in Confocal Microscopy
SN - 978-989-758-011-6
AU - Histace, A.
AU - Histace, A.
AU - Bonnefoye, E.
AU - Garrido, L.
AU - Matuszewski, B.
AU - Murphy, M.
PY - 2014
SP - 270
EP - 277
DO - 10.5220/0004903002700277

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