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...

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Detalles Bibliográficos
Autores principales: Weng, Andreas M., Heidenreich, Julius F., Metz, Corona, Veldhoen, Simon, Bley, Thorsten A., Wech, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
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

Internet

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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