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Performance of deep learning-based algorithm for detection of ileocolic intussusception on abdominal radiographs of young children
The purpose of this study was to develop and test the performance of a deep learning-based algorithm to detect ileocolic intussusception using abdominal radiographs of young children. For the training set, children (≤5 years old) who underwent abdominal radiograph and ultrasonography (US) for suspic...
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| Publicado en: | Sci Rep |
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| Autores principales: | , , , , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6923478/ https://ncbi.nlm.nih.gov/pubmed/31857641 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-55536-6 |
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