A deep learning method for automatic segmentation of the bony orbit in MRI and CT images

This paper proposes a fully automatic method to segment the inner boundary of the bony orbit in two different image modalities: magnetic resonance imaging (MRI) and computed tomography (CT). The method, based on a deep learning architecture, uses two fully convolutional neural networks in series fol...

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Detalles Bibliográficos
Autores principales: Hamwood, Jared, Schmutz, Beat, Collins, Michael J., Allenby, Mark C., Alonso-Caneiro, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8249400/
https://www.ncbi.nlm.nih.gov/pubmed/34211081
http://dx.doi.org/10.1038/s41598-021-93227-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8249400/
https://www.ncbi.nlm.nih.gov/pubmed/34211081
http://dx.doi.org/10.1038/s41598-021-93227-3

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