Deep convolutional neural network-based detection of meniscus tears: comparison with radiologists and surgery as standard of reference

OBJECTIVE: To clinically validate a fully automated deep convolutional neural network (DCNN) for detection of surgically proven meniscus tears. MATERIALS AND METHODS: One hundred consecutive patients were retrospectively included, who underwent knee MRI and knee arthroscopy in our institution. All M...

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Detalles Bibliográficos
Autores principales: Fritz, Benjamin, Marbach, Giuseppe, Civardi, Francesco, Fucentese, Sandro F., Pfirrmann, Christian W.A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Scientific Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299917/
https://www.ncbi.nlm.nih.gov/pubmed/32170334
http://dx.doi.org/10.1007/s00256-020-03410-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299917/
https://www.ncbi.nlm.nih.gov/pubmed/32170334
http://dx.doi.org/10.1007/s00256-020-03410-2

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