Deep Learning for Automated Classification of Hip Hardware on Radiographs.
Purpose: To develop a deep learning model for automated classification of orthopedic hardware on pelvic and hip radiographs, which can be clinically implemented to decrease radiologist workload and improve consistency among radiology reports. Materials and Methods: Pelvic and hip radiographs from 42...
| Publicado en: | Journal of Imaging Informatics in Medicine Vol. 38; no. 2; pp. 988 - 997 |
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| Autores principales: | , , , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2025
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| Acceso en línea: | Ver este registro en EBSCOhost |