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Deep learning classification of shoulder fractures on plain radiographs of the humerus, scapula and clavicle
In this study, we present a deep learning model for fracture classification on shoulder radiographs using a convolutional neural network (CNN). The primary aim was to evaluate the classification performance of the CNN for proximal humeral fractures (PHF) based on the AO/OTA classification system. Se...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10468075/ https://www.ncbi.nlm.nih.gov/pubmed/37647274 http://dx.doi.org/10.1371/journal.pone.0289808 |