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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2020
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| Materias: | |
| 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 |