Determining the anatomical site in knee radiographs using deep learning

An important quality criterion for radiographs is the correct anatomical side marking. A deep neural network is evaluated to predict the correct anatomical side in radiographs of the knee acquired in anterior–posterior direction. In this retrospective study, a ResNet-34 network was trained on 2892 r...

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Detalles Bibliográficos
Autores principales: Quinsten, Anton S., Umutlu, Lale, Forsting, Michael, Nassenstein, Kai, Demircioğlu, Aydin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8900105/
https://www.ncbi.nlm.nih.gov/pubmed/35256736
http://dx.doi.org/10.1038/s41598-022-08020-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8900105/
https://www.ncbi.nlm.nih.gov/pubmed/35256736
http://dx.doi.org/10.1038/s41598-022-08020-7

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