Comparison of state-of-the-art machine and deep learning algorithms to classify proximal humeral fractures using radiology text.
Introduction: Proximal humeral fractures account for a significant proportion of all fractures. Detailed accurate classification of the type and severity of the fracture is a key component of clinical decision making, treatment and plays an important role in orthopaedic trauma research. This researc...
| Publicado en: | European Journal of Radiology Vol. 153 |
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| Autores principales: | , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Aug2022
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| Acceso en línea: | Ver este registro en EBSCOhost |