Automated detection and classification of shoulder arthroplasty models using deep learning.
Objective: To develop and evaluate the performance of deep convolutional neural networks (DCNN) to detect and identify specific total shoulder arthroplasty (TSA) models.Materials and Methods: We included 482 radiography studies obtained from publicly available image repositories with native shoulder...
| Publicado en: | Skeletal Radiology Vol. 49; no. 10; pp. 1623 - 1633 |
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| Autores principales: | , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Oct2020
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| Acceso en línea: | Ver este registro en EBSCOhost |