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Implant and Surgical Tool Simulation for X-Ray Image Processing
  • Florian KordonEmail author
  • Andreas Maier
  • Benedict Swartman
  • Holger Kunze
Conference paper
  • 25 Downloads
Part of the Informatik aktuell book series (INFORMAT)

Zusammenfassung

This study investigates a novel data augmentation approach for simulating surgical instruments, tools, and implants by image composition with transformed characters, numerals, and abstract symbols from open-source fonts. We analyse its suitability for the common spatial learning tasks of multi-label segmentation and anatomical landmark detection. The proposed technique is evaluated on 38 clinical intraoperative X-ray images with a high occurrence of objects overlaying the target anatomy. We demonstrate increased robustness towards superimposed surgical objects by incorporating our technique and provide an empirical rationale about the neglectable influence of realistic object shape and intensity information.

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Copyright information

© Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2020

Authors and Affiliations

  • Florian Kordon
    • 1
    • 2
    • 3
    Email author
  • Andreas Maier
    • 1
  • Benedict Swartman
    • 4
  • Holger Kunze
    • 3
  1. 1.Pattern Recognition Lab, Department of Computer ScienceFriedrich-Alexander-Universität Erlangen-NürnbergErlangenDeutschland
  2. 2.Erlangen Graduate School in Advanced Optical Technologies (SAOT)Friedrich-Alexander-Universität Erlangen-NürnbergErlangenDeutschland
  3. 3.Advanced TherapiesSiemens Healthcare GmbHForchheimDeutschland
  4. 4.Department for Trauma and Orthopaedic SurgeryBG Trauma Center LudwigshafenLudwigshafenDeutschland

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