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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| 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 |