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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2021-07-01
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| Series: | Acta Orthopaedica |
| Online Access: | http://dx.doi.org/10.1080/17453674.2021.1891512 |