Application of convolutional neural networks for distal radio-ulnar fracture detection on plain radiographs in the emergency room

OBJECTIVE: Recent studies have suggested that deep-learning models can satisfactorily assist in fracture diagnosis. We aimed to evaluate the performance of two of such models in wrist fracture detection. METHODS: We collected image data of patients who visited with wrist trauma at the emergency depa...

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Detalles Bibliográficos
Autores principales: Kim, Min Woong, Jung, Jaewon, Park, Se Jin, Park, Young Sun, Yi, Jeong Hyeon, Yang, Won Seok, Kim, Jin Hyuck, Cho, Bum-Joo, Ha, Sang Ook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Emergency Medicine 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273672/
https://www.ncbi.nlm.nih.gov/pubmed/34237817
http://dx.doi.org/10.15441/ceem.20.091

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273672/
https://www.ncbi.nlm.nih.gov/pubmed/34237817
http://dx.doi.org/10.15441/ceem.20.091

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