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Deep neural networks with promising diagnostic accuracy for the classification of atypical femoral fractures
Background and purpose — A correct diagnosis is essential for the appropriate treatment of patients with atypical femoral fractures (AFFs). The diagnostic accuracy of radiographs with standard radiology reports is very poor. We derived a diagnostic algorithm that uses deep neural networks to enable...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Taylor & Francis
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8381921/ https://www.ncbi.nlm.nih.gov/pubmed/33627045 http://dx.doi.org/10.1080/17453674.2021.1891512 |