CT image segmentation for inflamed and fibrotic lungs using a multi-resolution convolutional neural network

The purpose of this study was to develop a fully-automated segmentation algorithm, robust to various density enhancing lung abnormalities, to facilitate rapid quantitative analysis of computed tomography images. A polymorphic training approach is proposed, in which both specifically labeled left and...

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Detalles Bibliográficos
Autores principales: Gerard, Sarah E., Herrmann, Jacob, Xin, Yi, Martin, Kevin T., Rezoagli, Emanuele, Ippolito, Davide, Bellani, Giacomo, Cereda, Maurizio, Guo, Junfeng, Hoffman, Eric A., Kaczka, David W., Reinhardt, Joseph M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809065/
https://www.ncbi.nlm.nih.gov/pubmed/33446781
http://dx.doi.org/10.1038/s41598-020-80936-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809065/
https://www.ncbi.nlm.nih.gov/pubmed/33446781
http://dx.doi.org/10.1038/s41598-020-80936-4

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