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)...
| Publicado en: | Acta Orthopaedica Vol. 89; no. 4; pp. 468 - 474 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Medical Journals Sweden AB
Aug2018
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| Acceso en línea: | Ver este registro en EBSCOhost |