Development and validation of a deep learning algorithm for prediction of pediatric recurrent intussusception in ultrasound images and radiographs
Abstract Purposes To develop a predictive model for recurrent intussusception based on abdominal ultrasound (US) images and abdominal radiographs. Methods A total of 3665 cases of intussusception were retrospectively collected from January 2017 to December 2022. The cohort was randomly assigned to t...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-03-01
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| Series: | BMC Medical Imaging |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12880-025-01582-8 |
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