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Comparative Analysis of Selected Methods of Identifying the Newborn’s Skeletal Model

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Information Technology in Biomedicine (ITIB 2022)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1429))

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Abstract

Determining and tracking the location of specific points of real objects in space is not an easy task. Nowadays, this task is performed by artificial deep neural networks. Various methods and techniques have been competing with each other in recent years. Most of them do it effectively and with a satisfactory result. The success of such solutions is associated with long-term learning and a large amount of training material. The following article should answer the question whether and how the selected tool affects the results obtained. Several approaches to solving the problem using different technologies are presented. The material was verified for a selected group of photos of children in the first weeks of life.

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Author information

Authors and Affiliations

  1. Faculty of Exact and Technical Sciences, University of Silesia in Katowice, Bankowa 12, 40-007, Katowice, Poland

    Adam Mrozek & Małgorzata Matyja

  2. Faculty of Biomedical Engineering, Silesian University of Technology, ul. Roosevelta 40, 41-800, Zabrze, Poland

    Marta Danch-Wierzchowska, Daniel Ledwoń, Monika N. Bugdol & Małgorzata Matyja

  3. Faculty of Applied Sciences, University of Dąbrowa Górnicza,za, ul. Zygmunta Cieplaka 1c, 41-300, Dąbrowa Górnicza, Poland

    Dariusz Badura & Małgorzata Matyja

  4. Institute of Physiotherapy and Health Science, Academy of Physical Education in Katowice, ul. Mikołowska 72A, 40-065, Katowice, Poland

    Iwona Doroniewicz, Małgorzata Matyja & Andrzej Myśliwiec

Authors
  1. Adam Mrozek
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  2. Marta Danch-Wierzchowska
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  3. Daniel Ledwoń
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  4. Dariusz Badura
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  5. Iwona Doroniewicz
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  6. Monika N. Bugdol
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  7. Małgorzata Matyja
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  8. Andrzej Myśliwiec
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Corresponding author

Correspondence to Adam Mrozek .

Editor information

Editors and Affiliations

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

    Ewa Pietka

  2. Faculty of Biomedical Engineering, 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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Mrozek, A. et al. (2022). Comparative Analysis of Selected Methods of Identifying the Newborn’s Skeletal Model. In: Pietka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technology in Biomedicine. ITIB 2022. Advances in Intelligent Systems and Computing, vol 1429. Springer, Cham. https://doi.org/10.1007/978-3-031-09135-3_28

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