Large-scale investigation of deep learning approaches for ventilated lung segmentation using multi-nuclear hyperpolarized gas MRI

Large-scale investigation of deep learning approaches for ventilated lung segmentation using multi-nuclear hyperpolarized gas MRI

Abstract Respiratory diseases are leading causes of mortality and morbidity worldwide. Pulmonary imaging is an essential component of the diagnosis, treatment planning, monitoring, and treatment assessment of respiratory diseases. Insights into numerous pulmonary pathologies can be gleaned from func...

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Bibliographic Details
Main Authors: Joshua R. Astley, Alberto M. Biancardi, Paul J. C. Hughes, Helen Marshall, Laurie J. Smith, Guilhem J. Collier, James A. Eaden, Nicholas D. Weatherley, Matthew Q. Hatton, Jim M. Wild, Bilal A. Tahir
Format: Article
Language:English
Published: Nature Portfolio 2022-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-14672-2

Internet

https://doi.org/10.1038/s41598-022-14672-2

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