D2A U-Net: Automatic segmentation of COVID-19 CT slices based on dual attention and hybrid dilated convolution

Coronavirus Disease 2019 (COVID-19) has become one of the most urgent public health events worldwide due to its high infectivity and mortality. Computed tomography (CT) is a significant screening tool for COVID-19 infection, and automatic segmentation of lung infection in COVID-19 CT images can assi...

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Detalles Bibliográficos
Autores principales: Zhao, Xiangyu, Zhang, Peng, Song, Fan, Fan, Guangda, Sun, Yangyang, Wang, Yujia, Tian, Zheyuan, Zhang, Luqi, Zhang, Guanglei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169238/
https://www.ncbi.nlm.nih.gov/pubmed/34146799
http://dx.doi.org/10.1016/j.compbiomed.2021.104526

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169238/
https://www.ncbi.nlm.nih.gov/pubmed/34146799
http://dx.doi.org/10.1016/j.compbiomed.2021.104526

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