Improved distinct bone segmentation from upper-body CT using binary-prediction-enhanced multi-class inference.

PURPOSE: Automated distinct bone segmentation has many applications in planning and navigation tasks. 3D U-Nets have previously been used to segment distinct bones in the upper body, but their performance is not yet optimal. Their most substantial source of error lies not in confusing one bone for a...

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Detalles Bibliográficos
Autores principales: Schnider, Eva, Huck, Antal, Toranelli, Mireille, Rauter, Georg, Müller-Gerbl, Magdalena, Cattin, Philippe C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515055/
https://www.ncbi.nlm.nih.gov/pubmed/35595948
http://dx.doi.org/10.1007/s11548-022-02650-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515055/
https://www.ncbi.nlm.nih.gov/pubmed/35595948
http://dx.doi.org/10.1007/s11548-022-02650-y

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