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Deep convolutional neural network for segmentation of knee joint anatomy
PURPOSE: To describe and evaluate a new segmentation method using deep convolutional neural network (CNN), 3D fully connected conditional random field (CRF), and 3D simplex deformable modeling to improve the efficiency and accuracy of knee joint tissue segmentation. METHODS: A segmentation pipeline...
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| Yayımlandı: | Magn Reson Med |
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| Asıl Yazarlar: | , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2018
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6342268/ https://ncbi.nlm.nih.gov/pubmed/29774599 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.27229 |
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