Unsupervised domain adaptation based COVID-19 CT infection segmentation network

Automatic segmentation of infection areas in computed tomography (CT) images has proven to be an effective diagnostic approach for COVID-19. However, due to the limited number of pixel-level annotated medical images, accurate segmentation remains a major challenge. In this paper, we propose an unsup...

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Detalles Bibliográficos
Autores principales: Chen, Han, Jiang, Yifan, Loew, Murray, Ko, Hanseok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8421243/
https://www.ncbi.nlm.nih.gov/pubmed/34764618
http://dx.doi.org/10.1007/s10489-021-02691-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8421243/
https://www.ncbi.nlm.nih.gov/pubmed/34764618
http://dx.doi.org/10.1007/s10489-021-02691-x

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