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Texture Analysis to Trophoblast and Villi Detection in Placenta Histological Images

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Information Technologies in Medicine (ITiB 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 472))

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Abstract

The paper presents two methods of an automatic tropho-blasts and villi detection in histological images to support the pathomorphological diagnostic procedure. The studied slides represent the placenta villi from spontaneous miscarriage stained with the Hematoxylin and Eosin. The proposed methods are based on texture analyses, as Local Binary Pattern and Unser, and mathematical morphology operations. The research on placenta villi detection and the evaluation on the histological images is needed to support clinical studies. The results of the automatic trophoblasts and villi detection were compared with the expert’s annotations. The average coverage of the detected trophoblast areas is 93.65 % for the Unser- method and 77.06 % for the LBP method. The obtained results confirm efficiency of the proposed solutions.

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Acknowledgments

This work has been supported by the National Science Centre (Poland) by the grant 2012/07/B/ST7/01203 in the years 2013–2016.

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Authors and Affiliations

  1. Warsaw University of Technology, 1 Politechniki Sq., Warsaw, Poland

    Zaneta Swiderska-Chadaj & Tomasz Markiewicz

  2. Military Institute of Medicine, 128 Szaserow Str., Warsaw, Poland

    Tomasz Markiewicz, Robert Koktysz & Wojciech Kozlowski

Authors
  1. Zaneta Swiderska-Chadaj
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  2. Tomasz Markiewicz
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  3. Robert Koktysz
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  4. Wojciech Kozlowski
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Corresponding author

Correspondence to Zaneta Swiderska-Chadaj .

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Editors and Affiliations

  1. Fac of Biomed Engg, ul. Roosevelta 40, Silesian University of Technology, Gliwice, Poland

    Ewa Piętka

  2. Fac of Biomed Engg, ul. Roosevelta 40, Silesian University of Technology, Gliwice, Poland

    Pawel Badura

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Jacek Kawa

  4. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Wojciech Wieclawek

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Swiderska-Chadaj, Z., Markiewicz, T., Koktysz, R., Kozlowski, W. (2016). Texture Analysis to Trophoblast and Villi Detection in Placenta Histological Images. In: Piętka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technologies in Medicine. ITiB 2016. Advances in Intelligent Systems and Computing, vol 472. Springer, Cham. https://doi.org/10.1007/978-3-319-39904-1_16

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  • DOI: https://doi.org/10.1007/978-3-319-39904-1_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39903-4

  • Online ISBN: 978-3-319-39904-1

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