Automated segmentation of head CT scans for computer-assisted craniomaxillofacial surgery applying a hierarchical patch-based stack of convolutional neural networks

PURPOSE: Computer-assisted techniques play an important role in craniomaxillofacial surgery. As segmentation of three-dimensional medical imaging represents a cornerstone for these procedures, the present study was aiming at investigating a deep learning approach for automated segmentation of head C...

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Detalles Bibliográficos
Autores principales: Steybe, David, Poxleitner, Philipp, Metzger, Marc Christian, Brandenburg, Leonard Simon, Schmelzeisen, Rainer, Bamberg, Fabian, Tran, Phuong Hien, Kellner, Elias, Reisert, Marco, Russe, Maximilian Frederik
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/PMC9515026/
https://www.ncbi.nlm.nih.gov/pubmed/35665881
http://dx.doi.org/10.1007/s11548-022-02673-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515026/
https://www.ncbi.nlm.nih.gov/pubmed/35665881
http://dx.doi.org/10.1007/s11548-022-02673-5

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