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GFNet: Automatic segmentation of COVID-19 lung infection regions using CT images based on boundary features()
In early 2020, the global spread of the COVID-19 has presented the world with a serious health crisis. Due to the large number of infected patients, automatic segmentation of lung infections using computed tomography (CT) images has great potential to enhance traditional medical strategies. However,...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359771/ https://www.ncbi.nlm.nih.gov/pubmed/35966970 http://dx.doi.org/10.1016/j.patcog.2022.108963 |