Deep learning in fracture detection: a narrative review

Authors

  • Pishtiwan H S Kalmet Maastricht University Medical Center+, Department of Trauma Surgery, Maastricht
  • Sebastian Sanduleanu The D-Lab: Decision Support for Precision Medicine, GROW— School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht
  • Sergey Primakov The D-Lab: Decision Support for Precision Medicine, GROW— School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht
  • Guangyao Wu The D-Lab: Decision Support for Precision Medicine, GROW— School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht
  • Arthur Jochems The D-Lab: Decision Support for Precision Medicine, GROW— School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht
  • Turkey Refaee The D-Lab: Decision Support for Precision Medicine, GROW— School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht
  • Abdalla Ibrahim The D-Lab: Decision Support for Precision Medicine, GROW— School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht; Department of Radiology and Nuclear Medicine, GROW – School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands; Division of Nuclear Medicine and Oncological Imaging, Department of Medical Physics, Hospital Center Universitaire De Liege, Liege, Belgium; Department of Nuclear Medicine and Comprehensive diagnostic center Aachen (CDCA), University Hospital RWTH Aachen University, Aachen, Germany
  • Luca v. Hulst Maastricht University Medical Center+, Department of Trauma Surgery, Maastricht
  • Philippe Lambin The D-Lab: Decision Support for Precision Medicine, GROW— School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht; Department of Radiology and Nuclear Medicine, GROW – School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
  • Martijn Poeze Maastricht University Medical Center+, Department of Trauma Surgery, Maastricht; School for Nutrition, Toxicology and Metabolism, Maastricht University, Maastricht, The Netherlands

DOI:

https://doi.org/10.1080/17453674.2020.1723292

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Published

2020-02-05

How to Cite

Kalmet, P. H. S., Sanduleanu, S., Primakov, S., Wu, G., Jochems, A., Refaee, T., Ibrahim, A., Hulst, L. v., Lambin, P., & Poeze, M. (2020). Deep learning in fracture detection: a narrative review. Acta Orthopaedica, 91(3), 362. https://doi.org/10.1080/17453674.2020.1723292

Issue

Acta Orthopaedica, Volume 91, Issue 3 (2020)

Section

Erratum/Corrigendum

License

Copyright (c) 2020 Pishtiwan H S Kalmet*, Sebastian Sanduleanu*, Sergey Primakov, Guangyao Wu, Arthur Jochems, Turkey Refaee, Abdalla Ibrahim, Luca v. Hulst, Philippe Lambin, Martijn Poeze

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material for non-commercial purposes, provided proper attribution to the original work.