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Labeling Vertebrae with Two-dimensional Reformations of Multidetector CT Images: An Adversarial Approach for Incorporating Prior Knowledge of Spine Anatomy
PURPOSE: To use and test a labeling algorithm that operates on two-dimensional reformations, rather than three-dimensional data to locate and identify vertebrae. MATERIALS AND METHODS: The authors improved the Btrfly Net, a fully convolutional network architecture described by Sekuboyina et al, whic...
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| Publicado no: | Radiol Artif Intell |
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| Principais autores: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Radiological Society of North America
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8017405/ https://ncbi.nlm.nih.gov/pubmed/33937818 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2020190074 |
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