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Fully Automated Patellofemoral MRI Segmentation using Holistically Nested Networks: Implications for Evaluating Patellofemoral Osteoarthritis, Pain, Injury, Pathology, and Adolescent Development
PURPOSE: Our clinical understanding of the relationship between 3D bone morphology and knee osteoarthritis, as well as our ability to investigate potential causative factors of osteoarthritis, has been hampered by the time intensive nature of manually segmenting bone from MR images. Thus, we aim to...
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| Publicado no: | Magn Reson Med |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6778709/ https://ncbi.nlm.nih.gov/pubmed/31402520 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.27920 |
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