Development and validation of a deep learning algorithm for prediction of pediatric recurrent intussusception in ultrasound images and radiographs.

Journal: BMC medical imaging

PMID: 40033220

Abstract

PURPOSES: To develop a predictive model for recurrent intussusception based on abdominal ultrasound (US) images and abdominal radiographs.

Authors

Yu-Feng Qian

Department of Radiology, Children's Hospital of Soochow University, Suzhou, China.
Wan-Liang Guo

Department of Radiology, Children's Hospital of Soochow University, Suzhou 215025, China.

Keywords

Algorithms Child Child, Preschool Deep Learning Female Humans Infant Intussusception Male Radiography, Abdominal Recurrence Retrospective Studies ROC Curve Ultrasonography

External Resources

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