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Automated detection and classification of the proximal humerus fracture by using deep learning algorithm
Background and purpose — We aimed to evaluate the ability of artificial intelligence (a deep learning algorithm) to detect and classify proximal humerus fractures using plain anteroposterior shoulder radiographs. Patients and methods — 1,891 images (1 image per person) of normal shoulders (n = 515)...
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| Udgivet i: | Acta Orthop |
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| Main Authors: | , , , , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Taylor & Francis
2018
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6066766/ https://ncbi.nlm.nih.gov/pubmed/29577791 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/17453674.2018.1453714 |
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