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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2021
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| Materias: | |
| 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 |