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Deep learning-based segmentation of the lung in MR-images acquired by a stack-of-spirals trajectory at ultra-short echo-times
BACKGROUND: Functional lung MRI techniques are usually associated with time-consuming post-processing, where manual lung segmentation represents the most cumbersome part. The aim of this study was to investigate whether deep learning-based segmentation of lung images which were scanned by a fast UTE...
Autores principales: | Weng, Andreas M., Heidenreich, Julius F., Metz, Corona, Veldhoen, Simon, Bley, Thorsten A., Wech, Tobias |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8106126/ https://www.ncbi.nlm.nih.gov/pubmed/33964892 http://dx.doi.org/10.1186/s12880-021-00608-1 |
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