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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

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 differe nt 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 (BIOSTEC 2020) - BIOIMAGING; ISBN 978-989-758-398-8; ISSN 2184-4305, SciTePress, 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 (BIOSTEC 2020) - BIOIMAGING},
year={2020},
pages={164-171},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008967901640171},
isbn={978-989-758-398-8},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - BIOIMAGING
TI - On Benchmarking Cell Nuclei Segmentation Algorithms for Fluorescence Microscopy
SN - 978-989-758-398-8
IS - 2184-4305
AU - Wirth, F.
AU - Brinkmann, E.
AU - Brinker, K.
PY - 2020
SP - 164
EP - 171
DO - 10.5220/0008967901640171
PB - SciTePress

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