Deep co-supervision and attention fusion strategy for automatic COVID-19 lung infection segmentation on CT images

Due to the irregular shapes,various sizes and indistinguishable boundaries between the normal and infected tissues, it is still a challenging task to accurately segment the infected lesions of COVID-19 on CT images. In this paper, a novel segmentation scheme is proposed for the infections of COVID-1...

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Detalles Bibliográficos
Autores principales: Hu, Haigen, Shen, Leizhao, Guan, Qiu, Li, Xiaoxin, Zhou, Qianwei, Ruan, Su
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8612757/
https://www.ncbi.nlm.nih.gov/pubmed/34848897
http://dx.doi.org/10.1016/j.patcog.2021.108452

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8612757/
https://www.ncbi.nlm.nih.gov/pubmed/34848897
http://dx.doi.org/10.1016/j.patcog.2021.108452

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