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Detecting pelvic fracture on 3D-CT using deep convolutional neural networks with multi-orientated slab images
Pelvic fracture is one of the leading causes of death in the elderly, carrying a high risk of death within 1 year of fracture. This study proposes an automated method to detect pelvic fractures on 3-dimensional computed tomography (3D-CT). Deep convolutional neural networks (DCNNs) have been used fo...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8175387/ https://www.ncbi.nlm.nih.gov/pubmed/34083655 http://dx.doi.org/10.1038/s41598-021-91144-z |