Deep learning-based framework for automatic cranial defect reconstruction and implant modeling.

Journal: Computer methods and programs in biomedicine
PMID: 36257198

Abstract

BACKGROUND AND OBJECTIVE: This article presents a robust, fast, and fully automatic method for personalized cranial defect reconstruction and implant modeling.

Authors

  • Marek Wodzinski
  • Mateusz Daniol
    Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland; MedApp S.A., Krakow, Poland.
  • Miroslaw Socha
    Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland.
  • Daria Hemmerling
    Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland.
  • Maciej Stanuch
    Department of Measurement and Electronics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, Poland.
  • Andrzej Skalski

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