Improved distinct bone segmentation in upper-body CT through multi-resolution networks

PURPOSE: Automated distinct bone segmentation from CT scans is widely used in planning and navigation workflows. U-Net variants are known to provide excellent results in supervised semantic segmentation. However, in distinct bone segmentation from upper-body CTs a large field of view and a computati...

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Detalles Bibliográficos
Autores principales: Schnider, Eva, Wolleb, Julia, Huck, Antal, Toranelli, Mireille, Rauter, Georg, Müller-Gerbl, Magdalena, Cattin, Philippe C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589171/
https://www.ncbi.nlm.nih.gov/pubmed/37338664
http://dx.doi.org/10.1007/s11548-023-02957-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589171/
https://www.ncbi.nlm.nih.gov/pubmed/37338664
http://dx.doi.org/10.1007/s11548-023-02957-4

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