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COVID-19 ground-glass opacity segmentation based on fuzzy c-means clustering and improved random walk algorithm
Accurate segmentation of ground-glass opacity (GGO) is an important premise for doctors to judge COVID-19. Aiming at the problem of mis-segmentation for GGO segmentation methods, especially the problem of adhesive GGO connected with chest wall or blood vessel, this paper proposes an accurate segment...
| 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/PMC9464590/ https://www.ncbi.nlm.nih.gov/pubmed/36119901 http://dx.doi.org/10.1016/j.bspc.2022.104159 |