Automatic pulmonary vessel segmentation on noncontrast chest CT: deep learning algorithm developed using spatiotemporally matched virtual noncontrast images and low-keV contrast-enhanced vessel maps

OBJECTIVES: To develop a deep learning–based pulmonary vessel segmentation algorithm (DLVS) from noncontrast chest CT and to investigate its clinical implications in assessing vascular remodeling of chronic obstructive lung disease (COPD) patients. METHODS: For development, 104 pulmonary CT angiogra...

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Detalles Bibliográficos
Autores principales: Nam, Ju Gang, Witanto, Joseph Nathanael, Park, Sang Joon, Yoo, Seung Jin, Goo, Jin Mo, Yoon, Soon Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Chest
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8131193/
https://www.ncbi.nlm.nih.gov/pubmed/34009411
http://dx.doi.org/10.1007/s00330-021-08036-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8131193/
https://www.ncbi.nlm.nih.gov/pubmed/34009411
http://dx.doi.org/10.1007/s00330-021-08036-z

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