Deep learning approach for automatic segmentation of ulna and radius in dual-energy X-ray imaging

BACKGROUND: Segmentation of the ulna and radius is a crucial step for the measurement of bone mineral density (BMD) in dual-energy X-ray imaging in patients suspected of having osteoporosis. PURPOSE: This work aimed to propose a deep learning approach for the accurate automatic segmentation of the u...

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Detalles Bibliográficos
Autores principales: Yang, Fan, Weng, Xin, Miao, Yuehong, Wu, Yuhui, Xie, Hong, Lei, Pinggui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8688680/
https://www.ncbi.nlm.nih.gov/pubmed/34928449
http://dx.doi.org/10.1186/s13244-021-01137-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8688680/
https://www.ncbi.nlm.nih.gov/pubmed/34928449
http://dx.doi.org/10.1186/s13244-021-01137-9

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