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,...

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Detalles Bibliográficos
Autores principales: Fan, Chaodong, Zeng, Zhenhuan, Xiao, Leyi, Qu, Xilong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
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

Internet

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

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