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Authors: Arkadiusz Tomczyk 1 ; Bartłomiej Stasiak 1 ; Paweł Tarasiuk 1 ; Anna Gorzkiewicz 2 ; Anna Walczewska 2 and Piotr S. Szczepaniak 1

Affiliations: 1 Lodz University of Technology, Poland ; 2 Medical University of Lodz, Poland

Keyword(s): Convolutional Neural Networks, Machine Learning, Fluorescent Microscope, Nucleus Localization.

Abstract: In this paper, an automatic method of neuron nucleuses localization in the images, taken with the fluorescent microscope, is presented. The proposed approach has two phases. During the first phase, a properly trained convolutional neural network acts as a non-linear filter which indicates regions of interest. The network architecture and specific method of its training are original concepts of the authors of this work. In the second phase, analysis of these regions allows to identify points representing positions of the nucleuses. To illustrate the method, images of neurons isolated from neonatal rat cerebral cortex were used. These images were inspected by a domain expert and all the visible nucleuses were manually annotated. This allowed not only to objectively assess the obtained detection results but it enabled the application of machine learning as well.

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Paper citation in several formats:
Tomczyk, A.; Stasiak, B.; Tarasiuk, P.; Gorzkiewicz, A.; Walczewska, A. and Szczepaniak, P. (2018). Localization of Neuron Nucleuses in Microscopy Images with Convolutional Neural Networks. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - KALSIMIS; ISBN 978-989-758-278-3; ISSN 2184-4305, SciTePress, pages 188-196. DOI: 10.5220/0006753601880196

@conference{kalsimis18,
author={Arkadiusz Tomczyk. and Bartłomiej Stasiak. and Paweł Tarasiuk. and Anna Gorzkiewicz. and Anna Walczewska. and Piotr S. Szczepaniak.},
title={Localization of Neuron Nucleuses in Microscopy Images with Convolutional Neural Networks},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - KALSIMIS},
year={2018},
pages={188-196},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006753601880196},
isbn={978-989-758-278-3},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - KALSIMIS
TI - Localization of Neuron Nucleuses in Microscopy Images with Convolutional Neural Networks
SN - 978-989-758-278-3
IS - 2184-4305
AU - Tomczyk, A.
AU - Stasiak, B.
AU - Tarasiuk, P.
AU - Gorzkiewicz, A.
AU - Walczewska, A.
AU - Szczepaniak, P.
PY - 2018
SP - 188
EP - 196
DO - 10.5220/0006753601880196
PB - SciTePress

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