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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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Detalhes bibliográficos
Publicado no:Radiol Artif Intell
Main Authors: Sekuboyina, Anjany, Rempfler, Markus, Valentinitsch, Alexander, Menze, Bjoern H., Kirschke, Jan S.
Formato: Artigo
Idioma:Inglês
Publicado em: Radiological Society of North America 2020
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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