Comparing bone shape models from deep learning processing of magnetic resonance imaging to computed tomography-based models

BACKGROUND: The purpose of this study was to develop a deep learning approach to automatically segment the scapular bone on magnetic resonance imaging (MRI) images and to compare the accuracy of these three-dimensional (3D) models with that of 3D computed tomography (CT). METHODS: Fifty-five patient...

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Detalles Bibliográficos
Autores principales: Wong, Victoria, Calivá, Francesco, Su, Favian, Pedoia, Valentina, Lansdown, Drew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Shoulder
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499848/
https://www.ncbi.nlm.nih.gov/pubmed/37719825
http://dx.doi.org/10.1016/j.jseint.2023.05.008

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499848/
https://www.ncbi.nlm.nih.gov/pubmed/37719825
http://dx.doi.org/10.1016/j.jseint.2023.05.008

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