A Deep Learning Method for Quantification of Femoral Head Necrosis Based on Routine Hip MRI for Improved Surgical Decision Making

(1) Background: To evaluate the performance of a deep learning model to automatically segment femoral head necrosis (FHN) based on a standard 2D MRI sequence compared to manual segmentations for 3D quantification of FHN. (2) Methods: Twenty-six patients (thirty hips) with avascular necrosis underwen...

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Detalles Bibliográficos
Autores principales: Ruckli, Adrian C., Nanavati, Andreas K., Meier, Malin K., Lerch, Till D., Steppacher, Simon D., Vuilleumier, Sébastian, Boschung, Adam, Vuillemin, Nicolas, Tannast, Moritz, Siebenrock, Klaus A., Gerber, Nicolas, Schmaranzer, Florian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9862886/
https://www.ncbi.nlm.nih.gov/pubmed/36675814
http://dx.doi.org/10.3390/jpm13010153

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9862886/
https://www.ncbi.nlm.nih.gov/pubmed/36675814
http://dx.doi.org/10.3390/jpm13010153

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