A deep learning method for automatic segmentation of the bony orbit in MRI and CT images
Abstract 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 s...
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Autores principales: | Jared Hamwood, Beat Schmutz, Michael J. Collins, Mark C. Allenby, David Alonso-Caneiro |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/8c592a3aa8dc4fbfa6b9d3d70ef56fff |
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