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High-accuracy detection of supraspinatus fatty infiltration in shoulder MRI using convolutional neural network algorithms
BACKGROUND: The supraspinatus muscle fatty infiltration (SMFI) is a crucial MRI shoulder finding to determine the patient’s prognosis. Clinicians have used the Goutallier classification to diagnose it. Deep learning algorithms have been demonstrated to have higher accuracy than traditional methods....
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10248442/ https://www.ncbi.nlm.nih.gov/pubmed/37305126 http://dx.doi.org/10.3389/fmed.2023.1070499 |