Estimating and abstracting the 3D structure of feline bones using neural networks on X-ray (2D) images

Computing 3D bone models using traditional Computed Tomography (CT) requires a high-radiation dose, cost and time. We present a fully automated, domain-agnostic method for estimating the 3D structure of a bone from a pair of 2D X-ray images. Our triplet loss-trained neural network extracts a 128-dim...

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Detalles Bibliográficos
Autores principales: Čavojská, Jana, Petrasch, Julian, Mattern, Denny, Lehmann, Nicolas Jens, Voisard, Agnès, Böttcher, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7326932/
https://www.ncbi.nlm.nih.gov/pubmed/32606393
http://dx.doi.org/10.1038/s42003-020-1057-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7326932/
https://www.ncbi.nlm.nih.gov/pubmed/32606393
http://dx.doi.org/10.1038/s42003-020-1057-3

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