Mandible segmentation from CT data for virtual surgical planning using an augmented two-stepped convolutional neural network

PURPOSE: For computer-aided planning of facial bony surgery, the creation of high-resolution 3D-models of the bones by segmenting volume imaging data is a labor-intensive step, especially as metal dental inlays or implants cause severe artifacts that reduce the quality of the computer-tomographic im...

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Detalles Bibliográficos
Autores principales: Pankert, Tobias, Lee, Hyun, Peters, Florian, Hölzle, Frank, Modabber, Ali, Raith, Stefan
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/PMC10363055/
https://www.ncbi.nlm.nih.gov/pubmed/36637748
http://dx.doi.org/10.1007/s11548-022-02830-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363055/
https://www.ncbi.nlm.nih.gov/pubmed/36637748
http://dx.doi.org/10.1007/s11548-022-02830-w

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