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The Use of Deep Learning for Segmentation of Bone Marrow Histological Images

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Artificial Intelligence Trends in Intelligent Systems (CSOC 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 573))

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Abstract

Proposed solution gives the segmentation of bone marrow histological images, required for further analysis via different methods. Proposed algorithm is based on deep learning using Convolutional Neural Network. More then 50 of ConvNNs where tested with different configurations and learning parameters (learning rate, weight decay). Obtained effectiveness is more then 92%.

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Acknowledgments

This work is supported by the UE EFRR ZPORR project Z/2.32/I/1.3.1/267 /05 “Szczecin University of Technology – Research and Education Center of Modern Multimedia Technologies” (Poland). We gratefully acknowledge the support of West–Pomeranian University of Technology, Szczecin (Department of Signal Processing and Multimedia Engineering).

We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan X GPU used for this research.

Author information

Authors and Affiliations

  1. Department of Epidemiology and Management, Pomeranian Medical University, Szczecin, Zolnierska 48 Street, 71-210, Szczecin, Poland

    Dorota Oszutowska–Mazurek

  2. Department of Forensic Medicine, Pomeranian Medical University, Szczecin, Powstancow Wielkopolskich 72 Street, 70-111, Szczecin, Poland

    Oktawian Knap

Authors
  1. Dorota Oszutowska–Mazurek
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  2. Oktawian Knap
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Corresponding author

Correspondence to Dorota Oszutowska–Mazurek .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in ZlĂ­n, Zlin, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in ZlĂ­n, Zlin, Czech Republic

    Roman Senkerik

  3. Faculty of Applied Informatics, Tomas Bata University in ZlĂ­n, Zlin, Czech Republic

    Zuzana Kominkova Oplatkova

  4. Faculty of Applied Informatics, Tomas Bata University in ZlĂ­n, Zlin, Czech Republic

    Zdenka Prokopova

  5. Faculty of Applied Informatics, Tomas Bata University in ZlĂ­n, Zlin, Czech Republic

    Petr Silhavy

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Oszutowska–Mazurek, D., Knap, O. (2017). The Use of Deep Learning for Segmentation of Bone Marrow Histological Images. In: Silhavy, R., Senkerik, R., Kominkova Oplatkova, Z., Prokopova, Z., Silhavy, P. (eds) Artificial Intelligence Trends in Intelligent Systems. CSOC 2017. Advances in Intelligent Systems and Computing, vol 573. Springer, Cham. https://doi.org/10.1007/978-3-319-57261-1_46

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  • DOI: https://doi.org/10.1007/978-3-319-57261-1_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57260-4

  • Online ISBN: 978-3-319-57261-1

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