A Machine Learning Approach Towards Fatty Liver Disease Detection in Liver Ultrasound Images
Kuzhipathalil A, Thomas A, Chand K, Gomes Ataide EJ, Link A, Niemann A, Saalfeld S, Friebe M, Ziegle J (2021)
Publication Type: Conference contribution
Publication year: 2021
Journal
Publisher: Springer Science and Business Media Deutschland GmbH
Pages Range: 86-91
Conference Proceedings Title: Informatik aktuell
Event location: Regensburg, DEU
ISBN: 9783658331979
DOI: 10.1007/978-3-658-33198-6_21
Involved external institutions
Germany (DE)How to cite
APA:
Kuzhipathalil, A., Thomas, A., Chand, K., Gomes Ataide, E.J., Link, A., Niemann, A.,... Ziegle, J. (2021). A Machine Learning Approach Towards Fatty Liver Disease Detection in Liver Ultrasound Images. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 86-91). Regensburg, DEU: Springer Science and Business Media Deutschland GmbH.
MLA:
Kuzhipathalil, Adarsh, et al. "A Machine Learning Approach Towards Fatty Liver Disease Detection in Liver Ultrasound Images." Proceedings of the German Workshop on Medical Image Computing, 2021, Regensburg, DEU Ed. Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff, Springer Science and Business Media Deutschland GmbH, 2021. 86-91.
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