Impact of standard enhancement settings of endoscopy systems on performance of endoscopic artificial intelligence systems.

Journal: Endoscopy
Published Date:

Abstract

BACKGROUND:  Artificial intelligence (AI) systems in endoscopy are predominantly developed and tested using high-quality imagery from expert centers. However, their performance may be different when applied in clinical practice, partly due to the diversity in post-processing enhancement settings used in endoscopy units. We evaluated the impact of post-processing enhancement settings on AI performance and tested specific data augmentation strategies to mitigate performance loss.

Authors

  • Martijn R Jong
    Department of Gastroenterology and Hepatology, Amsterdam Gastroenterology, Endocrinology and Metabolism, University of Amsterdam, Amsterdam, the Netherlands.
  • Carolus H J Kusters
    Department of Electrical Engineering, Video Coding & Architectures, Eindhoven University of Technology, Eindhoven, The Netherlands.
  • Querijn N E van Bokhorst
    Department of Gastroenterology and Hepatology, Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
  • Jelmer B Jukema
    Department of Gastroenterology and Hepatology, Amsterdam Gastroenterology, Endocrinology and Metabolism, University of Amsterdam, Amsterdam, the Netherlands.
  • Rixta A H van Eijck van Heslinga
    Department of Gastroenterology and Hepatology, Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
  • Kiki N Fockens
    Department of Gastroenterology and Hepatology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
  • Britt B S L Houwen
    Department of Gastroenterology and Hepatology, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam University Medical Centres, location Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands.
  • Tim J M Jaspers
    Department of Electrical Engineering, Video Coding & Architectures, Eindhoven University of Technology, Eindhoven, The Netherlands. Electronic address: t.j.m.jaspers@tue.nl.
  • Tim G W Boers
    Department of Electrical Engineering, Video Coding & Architectures, Eindhoven University of Technology, Eindhoven, The Netherlands.
  • Manon van der Vlugt
    Department of Gastroenterology and Hepatology, Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
  • Evelien Dekker
    Department of Gastroenterology and Hepatology, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam University Medical Centres, location Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands.
  • Fons van der Sommen
    VCA Research Group, Eindhoven University of Technology, Eindhoven, The Netherlands.
  • Peter H N de With
    Eindhoven University of Technology, 5612 AJ, Eindhoven, The Netherlands.
  • Albert J de Groof
    Department of Gastroenterology and Hepatology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
  • Jacques J G H M Bergman
    Amsterdam UMC, Amsterdam, The Netherlands.