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...

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Detalles Bibliográficos
Autores principales: Wang, Guowei, Guo, Shuli, Han, Lina, Zhao, Zhilei, Song, Xiaowei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Article
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

Internet

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

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