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Abstract: Deep Transfer Learning for Aortic Root Dilation Identification in 3D Ultrasound Images

  • Jannis HagenahEmail author
  • Mattias Heinrich
  • Floris Ernst
Conference paper
Part of the Informatik aktuell book series (INFORMAT)

Zusammenfassung

Valve-sparing aortic root reconstruction presents an alternative to valve replacement. However, choosing the optimal prosthesis size for the individual patient is a critical task during surgery. To assist the surgeons in their decision making, a pre-operative surgery planning tool based on 3D ultrasound data has been proposed.

Literatur

  1. 1.
    Hagenah J, Mattias H, Floris E. Deep transfer learning for aortic root dilation identification in 3D ultrasound images. Curr Dir Biomed Eng. 2018;4.1:71–74.CrossRefGoogle Scholar

Copyright information

© Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2019

Authors and Affiliations

  • Jannis Hagenah
    • 1
    Email author
  • Mattias Heinrich
    • 2
  • Floris Ernst
    • 1
  1. 1.Institut für Robotik und Kognitive SystemeUniversität zu LübeckLübeckDeutschland
  2. 2.Institut für Medizinische InformatikUniversität zu LübeckLübeckDeutschland

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