Cargando…
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images
The capability of generalization to unseen domains is crucial for deep learning models when considering real-world scenarios. However, current available medical image datasets, such as those for COVID-19 CT images, have large variations of infections and domain shift problems. To address this issue,...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2021
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7954643/ https://www.ncbi.nlm.nih.gov/pubmed/33746369 http://dx.doi.org/10.1016/j.eswa.2021.114848 |