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....

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Detalles Bibliográficos
Autores principales: Saavedra, Juan Pablo, Droppelmann, Guillermo, García, Nicolás, Jorquera, Carlos, Feijoo, Felipe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
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

Internet

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

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