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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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Bibliografski detalji
Izdano u:Nat Commun
Glavni autori: 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
Format: Artigo
Jezik:Inglês
Izdano: Nature Publishing Group UK 2021
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7887334/
https://ncbi.nlm.nih.gov/pubmed/33594071
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-021-21311-3
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