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Automated rotator cuff tear classification using 3D convolutional neural network
Rotator cuff tear (RCT) is one of the most common shoulder injuries. When diagnosing RCT, skilled orthopedists visually interpret magnetic resonance imaging (MRI) scan data. For automated and accurate diagnosis of RCT, we propose a full 3D convolutional neural network (CNN) based method using deep l...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7518447/ https://ncbi.nlm.nih.gov/pubmed/32973192 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-72357-0 |
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