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A Transfer Learning Approach for Automatic Segmentation of the Surgically Treated Anterior Cruciate Ligament
Quantitative magnetic resonance imaging enables quantitative assessment of the healing anterior cruciate ligament or graft post-surgery, but its use is constrained by the need for time consuming manual image segmentation. The goal of this study was to validate a deep learning model for automatic seg...
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| Publicado no: | J Orthop Res |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8285460/ https://ncbi.nlm.nih.gov/pubmed/33458865 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/jor.24984 |
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