A deep learning-based post-processing method for automated pulmonary lobe and airway trees segmentation using chest CT images in PET/CT

BACKGROUND: The proposed algorithm could support accurate localization of lung disease. To develop and validate an automated deep learning model combined with a post-processing algorithm to segment six pulmonary anatomical regions in chest computed tomography (CT) images acquired during positron emi...

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Detalles Bibliográficos
Autores principales: Xing, Haiqun, Zhang, Xin, Nie, Yingbin, Wang, Sicong, Wang, Tong, Jing, Hongli, Li, Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9511416/
https://www.ncbi.nlm.nih.gov/pubmed/36185049
http://dx.doi.org/10.21037/qims-21-1116

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9511416/
https://www.ncbi.nlm.nih.gov/pubmed/36185049
http://dx.doi.org/10.21037/qims-21-1116

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