Impact of test set composition on AI performance in pediatric wrist fracture detection in X-rays.

Abstract

Authors

• Tristan Till
  Department of Applied Computer Sciences, FH JOANNEUM - University of Applied Sciences, Graz, Austria.
• Mario Scherkl
  Division of Pediatric Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 34, Graz, 8036, Austria.
• Nikolaus Stranger
  Division of Pediatric Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 34, Graz, 8036, Austria. nikolaus.stranger@medunigraz.at.
• Georg Singer
  Department of Pediatric and Adolescent Surgery, Medical University of Graz, Graz, Austria.
• Saskia Hankel
  Department of Pediatric and Adolescent Surgery, Medical University of Graz, Auenbruggerplatz 34, Graz, 8036, Austria.
• Christina Flucher
  Department of Pediatric and Adolescent Surgery, Medical University of Graz, Auenbruggerplatz 34, Graz, 8036, Austria.
• Franko Hržić
  University of Rijeka, Faculty of Engineering, Department of Computer Engineering, Vukovarska 58, Rijeka, 51000, Croatia; University of Rijeka, Center for Artificial Intelligence and Cybersecurity, Radmile Matejčić 2, Rijeka, 51000, Croatia.
• Ivan Štajduhar
  Faculty of Engineering, University of Rijeka, Vukovarska 58, Rijeka, Croatia; Faculty of Engineering and Natural Sciences, Sabanci University, Üniversite Cd. No:27, Tuzla, Istanbul, Turkey. Electronic address: istajduh@riteh.hr.
• Sebastian Tschauner
  Division of Pediatric Radiology, Department of Radiology, Medical University of Graz, Graz, Austria.

Keywords

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