A scalable physician-level deep learning algorithm detects universal trauma on pelvic radiographs

Pelvic radiograph (PXR) is essential for detecting proximal femur and pelvis injuries in trauma patients, which is also the key component for trauma survey. None of the currently available algorithms can accurately detect all kinds of trauma-related radiographic findings on PXRs. Here, we show a uni...

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Detalles Bibliográficos
Autores principales: Cheng, Chi-Tung, Wang, Yirui, Chen, Huan-Wu, Hsiao, Po-Meng, Yeh, Chun-Nan, Hsieh, Chi-Hsun, Miao, Shun, Xiao, Jing, Liao, Chien-Hung, Lu, Le
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887334/
https://www.ncbi.nlm.nih.gov/pubmed/33594071
http://dx.doi.org/10.1038/s41467-021-21311-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887334/
https://www.ncbi.nlm.nih.gov/pubmed/33594071
http://dx.doi.org/10.1038/s41467-021-21311-3

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