Ankle fracture classification using deep learning: automating detailed AO Foundation/Orthopedic Trauma Association (AO/OTA) 2018 malleolar fracture identification reaches a high degree of correct classification

Background and purpose — Classification of ankle fractures is crucial for guiding treatment but advanced classifications such as the AO Foundation/Orthopedic Trauma Association (AO/OTA) are often too complex for human observers to learn and use. We have therefore investigated whether an automated al...

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Detalles Bibliográficos
Autores principales: Olczak, Jakub, Emilson, Filip, Razavian, Ali, Antonsson, Tone, Stark, Andreas, Gordon, Max
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7919919/
https://www.ncbi.nlm.nih.gov/pubmed/33103536
http://dx.doi.org/10.1080/17453674.2020.1837420

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7919919/
https://www.ncbi.nlm.nih.gov/pubmed/33103536
http://dx.doi.org/10.1080/17453674.2020.1837420

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