Computer-aided diagnosis of congenital abnormalities of the kidney and urinary tract in children based on ultrasound imaging data by integrating texture image features and deep transfer learning image features.

Journal: Journal of pediatric urology
Published Date: Feb 1, 2019

Abstract

INTRODUCTION: Anatomic characteristics of kidneys derived from ultrasound images are potential biomarkers of children with congenital abnormalities of the kidney and urinary tract (CAKUT), but current methods are limited by the lack of automated processes that accurately classify diseased and normal kidneys.

Authors

  • Q Zheng
    Department of Radiology, School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA; School of Computer and Control Engineering, Yantai University, Yantai, 264005, China.
  • S L Furth
    Department of Pediatrics, Division of Pediatric Nephrology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
  • G E Tasian
    Department of Surgery, Division of Pediatric Urology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Center for Pediatric Clinical Effectiveness, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Biostatistics, Epidemiology, and Informatics, The University of Pennsylvania, Philadelphia, PA, USA.
  • Y Fan
    Department of Radiology, School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA. Electronic address: yong.fan@uphs.upenn.edu.

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