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Deep learning algorithms for detecting and visualising intussusception on plain abdominal radiography in children: a retrospective multicenter study
This study aimed to verify a deep convolutional neural network (CNN) algorithm to detect intussusception in children using a human-annotated data set of plain abdominal X-rays from affected children. From January 2005 to August 2019, 1449 images were collected from plain abdominal X-rays of patients...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567788/ https://www.ncbi.nlm.nih.gov/pubmed/33067505 http://dx.doi.org/10.1038/s41598-020-74653-1 |