This paper is in the following e-collection/theme issue:

Methods and Instruments in Medical Informatics (200) Imaging Informatics (310) Machine Learning (2138) Medical imaging (117)

Published on in Vol 14 (2026)

This is a member publication of Michigan State University

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65596, first published .
Effects of Image Degradation on Deep Neural Network Classification of Scaphoid Fracture Radiographs: Comparison Study of Different Noise Types

Effects of Image Degradation on Deep Neural Network Classification of Scaphoid Fracture Radiographs: Comparison Study of Different Noise Types

Effects of Image Degradation on Deep Neural Network Classification of Scaphoid Fracture Radiographs: Comparison Study of Different Noise Types

Authors of this article:

Chihung Lin1, 2 Author Orcid Image ;   Alfred P Yoon3 Author Orcid Image ;   Chien-Wei Wang4 Author Orcid Image ;   Tung Chao1 Author Orcid Image ;   Kevin C Chung4 Author Orcid Image ;   Chang-Fu Kuo1, 5, 6, 7 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Chihung Lin   1, 2 * , PhD ;   Alfred P Yoon   3 * , MD ;   Chien-Wei Wang   4 , MD ;   Tung Chao   1 , MS ;   Kevin C Chung   4 * , MS, MD ;   Chang-Fu Kuo   1, 5, 6, 7 * , MD, PhD

1 Center for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan

2 Department of Artificial Intelligence, Chang Gung University, Taoyuan, Taiwan

3 Division of Plastic and Reconstructive Surgery, Section of Hand and Microvascular Surgery, University of California Davis Medical Center, Sacramento, CA, United States

4 Comprehensive Hand Center, Michigan Medicine, Ann Arbor, MI, United States

5 Division of Rheumatology, Allergy and Immunology, Center for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan

6 College of Medicine, Chang Gung University, Taoyuan, Taiwan

7 Division of Rheumatology, Orthopaedics and Dermatology, School of Medicine, University of Nottingham, Nottingham, United Kingdom

*these authors contributed equally

Corresponding Author:

  • Chang-Fu Kuo, MD, PhD
  • Division of Rheumatology, Allergy and Immunology
  • Center for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital
  • No.5, Fuxing Street, Guishan District, Taoyuan City 333
  • Taoyuan 333
  • Taiwan
  • Phone: 886 3328-1200
  • Email: zandis@gmail.com