Automatic Lung Segmentation and Quantification of Aeration in Computed Tomography of the Chest Using 3D Transfer Learning

BACKGROUND: Identification of lung parenchyma on computer tomographic (CT) scans in the research setting is done semi-automatically and requires cumbersome manual correction. This is especially true in pathological conditions, hindering the clinical application of aeration compartment (AC) analysis....

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Detalles Bibliográficos
Autores principales: Maiello, Lorenzo, Ball, Lorenzo, Micali, Marco, Iannuzzi, Francesca, Scherf, Nico, Hoffmann, Ralf-Thorsten, Gama de Abreu, Marcelo, Pelosi, Paolo, Huhle, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854801/
https://www.ncbi.nlm.nih.gov/pubmed/35185592
http://dx.doi.org/10.3389/fphys.2021.725865

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854801/
https://www.ncbi.nlm.nih.gov/pubmed/35185592
http://dx.doi.org/10.3389/fphys.2021.725865

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