Three-stage segmentation of lung region from CT images using deep neural networks

BACKGROUND: Lung region segmentation is an important stage of automated image-based approaches for the diagnosis of respiratory diseases. Manual methods executed by experts are considered the gold standard, but it is time consuming and the accuracy is dependent on radiologists’ experience. Automated...

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Detalles Bibliográficos
Autores principales: Osadebey, Michael, Andersen, Hilde K., Waaler, Dag, Fossaa, Kristian, Martinsen, Anne C. T., Pedersen, Marius
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280386/
https://www.ncbi.nlm.nih.gov/pubmed/34266391
http://dx.doi.org/10.1186/s12880-021-00640-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280386/
https://www.ncbi.nlm.nih.gov/pubmed/34266391
http://dx.doi.org/10.1186/s12880-021-00640-1

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