Comparison of neural networks for classification of urinary tract dilation from renal ultrasounds: evaluation of agreement with expert categorization.

Journal: Pediatric radiology
Published Date: Jul 4, 2025

Abstract

BACKGROUND: Urinary tract dilation (UTD) is a frequent problem in infants. Automated and objective classification of UTD from renal ultrasounds would streamline their interpretations.

Authors

  • Kee Chung
    Department of Radiology, Boston Children's Hospital, 300 Longwood Ave, Boston, MA, 02115, USA. Kee.Chung@childrens.harvard.edu.
  • Shaoju Wu
    Department of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, MA, United States of America.
  • Chow Jeanne
    Department of Radiology, Boston Children's Hospital, 300 Longwood Ave, Boston, MA, 02115, USA.
  • Andy Tsai
    Department of Radiology, Boston Children's Hospital, Harvard Medical School, 300 Longwood Avenue, Boston, MA, 02115, USA. andy.tsai@childrens.harvard.edu.

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