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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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| Publicado no: | Magn Reson Med |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | 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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