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Bone Age Assessment by Means of Intelligent Approaches

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Intelligent Information and Database Systems (ACIIDS 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12672))

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Abstract

There are many practical applications of intelligent and contextual approaches. The development of systems designed for medical diagnosis is an example of a real world problem employing such approaches. The appropriate understanding of context of digital medical data is crucial in this case. In the paper the automatic bone age assessment by means of digital RTG images of pediatric patients is analyzed. The particular stages of the approach are presented and the algorithms for each of them are proposed. The approach consists of the localization of a hand area, localization of characteristic points, localization of regions of interest, feature extraction and classification. The discussion on each of them is provided. Particular algorithms are proposed and discussed.

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Authors and Affiliations

  1. Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Żołnierska 52, 71-210, Szczecin, Poland

    Maria Ginał & Dariusz Frejlichowski

Authors
  1. Maria Ginał
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  2. Dariusz Frejlichowski
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Correspondence to Dariusz Frejlichowski .

Editor information

Editors and Affiliations

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

    Ngoc Thanh Nguyen

  2. King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand

    Suphamit Chittayasothorn

  3. Nanyang Technological University, Singapore, Singapore

    Dusit Niyato

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

    Bogdan Trawiński

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Ginał, M., Frejlichowski, D. (2021). Bone Age Assessment by Means of Intelligent Approaches. In: Nguyen, N.T., Chittayasothorn, S., Niyato, D., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2021. Lecture Notes in Computer Science(), vol 12672. Springer, Cham. https://doi.org/10.1007/978-3-030-73280-6_56

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  • DOI: https://doi.org/10.1007/978-3-030-73280-6_56

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-73279-0

  • Online ISBN: 978-3-030-73280-6

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