Automatic multi-anatomical skull structure segmentation of cone-beam computed tomography scans using 3D UNETR

The segmentation of medical and dental images is a fundamental step in automated clinical decision support systems. It supports the entire clinical workflow from diagnosis, therapy planning, intervention, and follow-up. In this paper, we propose a novel tool to accurately process a full-face segment...

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Detalles Bibliográficos
Autores principales: Gillot, Maxime, Baquero, Baptiste, Le, Celia, Deleat-Besson, Romain, Bianchi, Jonas, Ruellas, Antonio, Gurgel, Marcela, Yatabe, Marilia, Al Turkestani, Najla, Najarian, Kayvan, Soroushmehr, Reza, Pieper, Steve, Kikinis, Ron, Paniagua, Beatriz, Gryak, Jonathan, Ioshida, Marcos, Massaro, Camila, Gomes, Liliane, Oh, Heesoo, Evangelista, Karine, Chaves Junior, Cauby Maia, Garib, Daniela, Costa, Fábio, Benavides, Erika, Soki, Fabiana, Fillion-Robin, Jean-Christophe, Joshi, Hina, Cevidanes, Lucia, Prieto, Juan Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9555672/
https://www.ncbi.nlm.nih.gov/pubmed/36223330
http://dx.doi.org/10.1371/journal.pone.0275033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9555672/
https://www.ncbi.nlm.nih.gov/pubmed/36223330
http://dx.doi.org/10.1371/journal.pone.0275033

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