SCOAT-Net: A novel network for segmenting COVID-19 lung opacification from CT images

Automatic segmentation of lung opacification from computed tomography (CT) images shows excellent potential for quickly and accurately quantifying the infection of Coronavirus disease 2019 (COVID-19) and judging the disease development and treatment response. However, some challenges still exist, in...

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Detalles Bibliográficos
Autores principales: Zhao, Shixuan, Li, Zhidan, Chen, Yang, Zhao, Wei, Xie, Xingzhi, Liu, Jun, Zhao, Di, Li, Yongjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8189738/
https://www.ncbi.nlm.nih.gov/pubmed/34127870
http://dx.doi.org/10.1016/j.patcog.2021.108109

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8189738/
https://www.ncbi.nlm.nih.gov/pubmed/34127870
http://dx.doi.org/10.1016/j.patcog.2021.108109

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