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

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

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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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Bibliographic Details
Main Authors: Maxime Gillot, Baptiste Baquero, Celia Le, Romain Deleat-Besson, Jonas Bianchi, Antonio Ruellas, Marcela Gurgel, Marilia Yatabe, Najla Al Turkestani, Kayvan Najarian, Reza Soroushmehr, Steve Pieper, Ron Kikinis, Beatriz Paniagua, Jonathan Gryak, Marcos Ioshida, Camila Massaro, Liliane Gomes, Heesoo Oh, Karine Evangelista, Cauby Maia Chaves Junior, Daniela Garib, Fábio Costa, Erika Benavides, Fabiana Soki, Jean-Christophe Fillion-Robin, Hina Joshi, Lucia Cevidanes, Juan Carlos Prieto
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9555672/?tool=EBI

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9555672/?tool=EBI

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