Automatic femoral articular cartilage segmentation using deep learning in three-dimensional ultrasound images of the knee

OBJECTIVE: This study aimed to develop a deep learning-based approach to automatically segment the femoral articular cartilage (FAC) in 3D ultrasound (US) images of the knee to increase time efficiency and decrease rater variability. DESIGN: Our method involved deep learning predictions on 2DUS slic...

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Detalles Bibliográficos
Autores principales: du Toit, Carla, Orlando, Nathan, Papernick, Sam, Dima, Robert, Gyacskov, Igor, Fenster, Aaron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
ORIGINAL PAPER
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718325/
https://www.ncbi.nlm.nih.gov/pubmed/36474947
http://dx.doi.org/10.1016/j.ocarto.2022.100290

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718325/
https://www.ncbi.nlm.nih.gov/pubmed/36474947
http://dx.doi.org/10.1016/j.ocarto.2022.100290

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