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Morphological Analysis of Histopathological Images Using Deep Learning

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Advances in Computational Collective Intelligence (ICCCI 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1463))

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Abstract

In this study, we introduce a morphological analysis of segmented tumour cells from histopathology images concerning the recognition of cell overlapping. The main research problem considered is to distinguish how many cells are located in a structure, which is composed of overlapping cells. In our experiments, we used convolutional neural network models to provide recognition of the number of cells. For the medical data used: Ki-67 histopathology images, we achieved a high f1-score result. Therefore, our research proves the assumption to use convolutional neural networks for morphological analysis of segmented objects derived from medical images.

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Acknowledgement

This work was supported by the statutory funds of the Department of Computational Intelligence, Faculty of Computer Science and Management, Wroclaw University of Science and Technology.

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Authors and Affiliations

  1. Faculty of Computer Science and Management, Department of Computational Intelligence, Wroclaw University of Science and Technology, Wroclaw, Poland

    Artur Zawisza, Martin Tabakov, Konrad Karanowski & Krzysztof Galus

Authors
  1. Artur Zawisza
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  2. Martin Tabakov
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  3. Konrad Karanowski
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  4. Krzysztof Galus
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Corresponding author

Correspondence to Martin Tabakov .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Krystian Wojtkiewicz

  2. VU Amsterdam, Amsterdam, The Netherlands

    Jan Treur

  3. University of the West of England, Bristol, UK

    Elias Pimenidis

  4. Wrocław University of Science and Technology, Wrocław, Poland

    Marcin Maleszka

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Zawisza, A., Tabakov, M., Karanowski, K., Galus, K. (2021). Morphological Analysis of Histopathological Images Using Deep Learning. In: Wojtkiewicz, K., Treur, J., Pimenidis, E., Maleszka, M. (eds) Advances in Computational Collective Intelligence. ICCCI 2021. Communications in Computer and Information Science, vol 1463. Springer, Cham. https://doi.org/10.1007/978-3-030-88113-9_11

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  • DOI: https://doi.org/10.1007/978-3-030-88113-9_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-88112-2

  • Online ISBN: 978-3-030-88113-9

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