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SuperMini-seg: An ultra lightweight network for COVID-19 lung infection segmentation from CT images
The automatic segmentation of lung lesions from COVID-19 computed tomography (CT) images is helpful in establishing a quantitative model to diagnose and treat COVID-19. To this end, this study proposes a lightweight segmentation network called the SuperMini-Seg. We propose a new module called the tr...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028361/ https://www.ncbi.nlm.nih.gov/pubmed/36998783 http://dx.doi.org/10.1016/j.bspc.2023.104896 |