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Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries

  • Sandy EngelhardtEmail author
  • Raffaele De Simone
  • Peter M. Full
  • Matthias Karck
  • Ivo Wolf
Conference paper
Part of the Informatik aktuell book series (INFORMAT)

Zusammenfassung

Current ‘dry lab’ surgical phantom simulators are a valuable tool for surgeons which allows them to improve their dexterity and skill with surgical instruments. These phantoms mimic the haptic and shape of organs of interest, but lack a realistic visual appearance. In this work, we present an innovative application in which representations learned from real intraoperative endoscopic sequences are transferred to a surgical phantom scenario.

Literatur

  1. 1.
    Engelhardt S, De Simone R, Full PM, et al. Improving surgical training phantoms by hyperrealism: deep unpaired image-to-image translation from real surgeries. Proc MICCAI. 2018; p. 747–755.Google Scholar

Copyright information

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

Authors and Affiliations

  • Sandy Engelhardt
    • 1
    • 3
    Email author
  • Raffaele De Simone
    • 2
  • Peter M. Full
    • 2
  • Matthias Karck
    • 2
  • Ivo Wolf
    • 3
  1. 1.Faculty of Computer ScienceMannheim University of Applied SciencesMannheimDeutschland
  2. 2.Department of Cardiac SurgeryHeidelberg University HospitalHeidelbergDeutschland
  3. 3.Dep. of and GraphicsMagdeburg UniversityMagdeburgDeutschland

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