Ruling out rotator cuff tear in shoulder radiograph series using deep learning: redefining the role of conventional radiograph.
Objective: To develop a deep learning algorithm that can rule out significant rotator cuff tear based on conventional shoulder radiographs in patients suspected of rotator cuff tear.Methods: The algorithm was developed using 6793 shoulder radiograph series performed between January 2015 and June 201...
| Publicado en: | European Radiology Vol. 30; no. 5; pp. 2843 - 2853 |
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| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
May2020
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| Acceso en línea: | Ver este registro en EBSCOhost |