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DUDA-Net: a double U-shaped dilated attention network for automatic infection area segmentation in COVID-19 lung CT images
PURPOSE: The global health crisis caused by coronavirus disease 2019 (COVID-19) is a common threat facing all humankind. In the process of diagnosing COVID-19 and treating patients, automatic COVID-19 lesion segmentation from computed tomography images helps doctors and patients intuitively understa...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178668/ https://www.ncbi.nlm.nih.gov/pubmed/34089438 http://dx.doi.org/10.1007/s11548-021-02418-w |