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...

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Detalles Bibliográficos
Autores principales: Ukai, Kazutoshi, Rahman, Rashedur, Yagi, Naomi, Hayashi, Keigo, Maruo, Akihiro, Muratsu, Hirotsugu, Kobashi, Syoji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
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

Internet

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

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