Cargando…
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...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2021
|
| Materias: | |
| 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 |