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...

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Detalles Bibliográficos
Autores principales: Kwon, Gitaek, Ryu, Jongbin, Oh, Jaehoon, Lim, Jongwoo, Kang, Bo-kyeong, Ahn, Chiwon, Bae, Junwon, Lee, Dong Keon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
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

Internet

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

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