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Authors: Frederike Wirth ; Eva-Maria Brinkmann and Klaus Brinker

Affiliation: Hamm-Lippstadt University of Applied Sciences, Marker Allee 76-78, 59063 Hamm, Germany

ISBN: 978-989-758-398-8

ISSN: 2184-4305

Keyword(s): Medical Image Analysis, Computer Vision, Fluorescence Microscopy, Cell Nuclei Segmentation, Segmentation Benchmarking, Watershed Segmentation.

Abstract: Cell nuclei detection is an essential step in the context of many image analysis tasks related to microscopy images and therefore also plays a role in highly topical fields of research like the development of personalised immunotherapy approaches against several types of cancer. Motivated by this observation, a whole zoo of advanced methods to accomplish cell nuclei segmentation has been proposed in recent years. This development in turn stresses the need to set up a well-justified and reproducible standard of comparison for the evaluation of these sophisticated approaches. In this paper, we describe how such a reference framework based on standard seeded watershed segmentation for fully automatic cell nuclei detection can be obtained. In particular, we provide a detailed review of a publicly available dataset, give a detailed account of the methods and evaluation measures we consider to enable the highest possible reproducibility of our results and discuss the suitability of differen t variants of seeded watershed segmentation for the mentioned purposes. (More)

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Paper citation in several formats:
Wirth, F.; Brinkmann, E. and Brinker, K. (2020). On Benchmarking Cell Nuclei Segmentation Algorithms for Fluorescence Microscopy.In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2 BIOIMAGING: BIOIMAGING, ISBN 978-989-758-398-8, ISSN 2184-4305, pages 164-171. DOI: 10.5220/0008967901640171

@conference{bioimaging20,
author={Frederike Wirth. and Eva{-}Maria Brinkmann. and Klaus Brinker.},
title={On Benchmarking Cell Nuclei Segmentation Algorithms for Fluorescence Microscopy},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2 BIOIMAGING: BIOIMAGING,},
year={2020},
pages={164-171},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008967901640171},
isbn={978-989-758-398-8},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2 BIOIMAGING: BIOIMAGING,
TI - On Benchmarking Cell Nuclei Segmentation Algorithms for Fluorescence Microscopy
SN - 978-989-758-398-8
AU - Wirth, F.
AU - Brinkmann, E.
AU - Brinker, K.
PY - 2020
SP - 164
EP - 171
DO - 10.5220/0008967901640171

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