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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Detalles Bibliográficos
Autores principales: Kim, Sungwon, Yoon, Haesung, Lee, Mi-Jung, Kim, Myung-Joon, Han, Kyunghwa, Yoon, Ja Kyung, Kim, Hyung Cheol, Shin, Jaeseung, Shin, Hyun Joo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6923478/
https://www.ncbi.nlm.nih.gov/pubmed/31857641
http://dx.doi.org/10.1038/s41598-019-55536-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6923478/
https://www.ncbi.nlm.nih.gov/pubmed/31857641
http://dx.doi.org/10.1038/s41598-019-55536-6

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