DUDA-Net: a double U-shaped dilated attention network for automatic infection area segmentation in COVID-19 lung CT images

PURPOSE: The global health crisis caused by coronavirus disease 2019 (COVID-19) is a common threat facing all humankind. In the process of diagnosing COVID-19 and treating patients, automatic COVID-19 lesion segmentation from computed tomography images helps doctors and patients intuitively understa...

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Detalles Bibliográficos
Autores principales: Xie, Feng, Huang, Zheng, Shi, Zhengjin, Wang, Tianyu, Song, Guoli, Wang, Bolun, Liu, Zihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178668/
https://www.ncbi.nlm.nih.gov/pubmed/34089438
http://dx.doi.org/10.1007/s11548-021-02418-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178668/
https://www.ncbi.nlm.nih.gov/pubmed/34089438
http://dx.doi.org/10.1007/s11548-021-02418-w

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