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Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs
OBJECTIVE: To identify the feasibility of using a deep convolutional neural network (DCNN) for the detection and localization of hip fractures on plain frontal pelvic radiographs (PXRs). SUMMARY OF BACKGROUND DATA: Hip fracture is a leading worldwide health problem for the elderly. A missed diagnosi...
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| Publicado no: | Eur Radiol |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Berlin Heidelberg
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6717182/ https://ncbi.nlm.nih.gov/pubmed/30937588 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-019-06167-y |
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