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A Machine Learning Approach Towards Fatty Liver Disease Detection in Liver Ultrasound Images

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Bildverarbeitung für die Medizin 2021

Part of the book series: Informatik aktuell ((INFORMAT))

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Abstract

Fatty liver disease (FLD) is one of the prominent diseases which affects the normal functionality of the liver by building vacuoles of fat in the liver cells. FLD is an indicator of imbalance in the metabolic system and could cause cardiovascular diseases, liver inflammation, cirrhosis and furthermore neoplasm. Detection and specification of a FLD are bene

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References

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Author information

Authors and Affiliations

  1. Faculty of Computer Science, University of Magdeburg, Magdeburg, Deutschland

    Adarsh Kuzhipathalil, Anto Thomas & Keerthana Chand

  2. INKA-Application Driven Research, University of Magdeburg, Magdeburg, Deutschland

    Elmer Jeto Gomes Ataide, Michael Friebe & Jens Ziegle

  3. Department of Simulation and Graphics, University of Magdeburg, Magdeburg, Deutschland

    Annika Niemann & Sylvia Saalfeld

  4. Department of Gastroenterology, Hepatology and Infectious Diseases, University of Magdeburg, Magdeburg, Deutschland

    Alexander Link

  5. STIMULATE Research Campus, University of Magdeburg, Magdeburg, Deutschland

    Annika Niemann & Sylvia Saalfeld

Authors
  1. Adarsh Kuzhipathalil
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  2. Anto Thomas
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  3. Keerthana Chand
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  4. Elmer Jeto Gomes Ataide
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  5. Annika Niemann
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  6. Sylvia Saalfeld
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  7. Michael Friebe
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  8. Jens Ziegle
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Corresponding author

Correspondence to Adarsh Kuzhipathalil .

Editor information

Editors and Affiliations

  1. Fakultät für Informatik und Mathematik, Ostbayerische Technische Hochschule Regensburg, Regensburg, Germany

    Christoph Palm

  2. Peter L. Reichertz Institut für Medizinische Informatik der TU Braunschweig und der Medizinischen Hochschule Hannover, Braunschweig, Germany

    Thomas M. Deserno

  3. Institut für Medizinische Informatik, Universität zu Lübeck, Lübeck, Germany

    Heinz Handels

  4. Lehrstuhl für Mustererkennung, Friedrich-Alexander-Universität, Erlangen, Germany

    Andreas Maier

  5. Medical Image Computing, E230, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany

    Klaus Maier-Hein

  6. Institut für Medizinische Informatik, Charité – Universitätsmedizin Berlin, Berlin, Germany

    Thomas Tolxdorff

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© 2021 Der/die Autor(en), exklusiv lizenziert durch Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

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Cite this paper

Kuzhipathalil, A. et al. (2021). A Machine Learning Approach Towards Fatty Liver Disease Detection in Liver Ultrasound Images. In: Palm, C., Deserno, T.M., Handels, H., Maier, A., Maier-Hein, K., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2021. Informatik aktuell. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-33198-6_21

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