Automated fracture detection in the ulna and radius using deep learning on upper extremity radiographs

OBJECTIVES: This study aimed to detect single or multiple fractures in the ulna or radius using deep learning techniques fed on upper-extremity radiographs. MATERIALS AND METHODS: The data set used in the retrospective study consisted of different types of upper extremity radiographs obtained from a...

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Detalles Bibliográficos
Autor principal: Erdaş, Çağatay Berke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bayçınar Medical Publishing 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10546863/
https://www.ncbi.nlm.nih.gov/pubmed/37750264
http://dx.doi.org/10.52312/jdrs.2023.1312

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10546863/
https://www.ncbi.nlm.nih.gov/pubmed/37750264
http://dx.doi.org/10.52312/jdrs.2023.1312

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