A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images

The COVID-19 pandemic has extremely threatened human health, and automated algorithms are needed to segment infected regions in the lung using computed tomography (CT). Although several deep convolutional neural networks (DCNNs) have proposed for this purpose, their performance on this task is suppr...

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Detalles Bibliográficos
Autores principales: Jia, Haozhe, Tang, Haoteng, Ma, Guixiang, Cai, Weidong, Huang, Heng, Zhan, Liang, Xia, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942482/
https://www.ncbi.nlm.nih.gov/pubmed/36842219
http://dx.doi.org/10.1016/j.compbiomed.2023.106698

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942482/
https://www.ncbi.nlm.nih.gov/pubmed/36842219
http://dx.doi.org/10.1016/j.compbiomed.2023.106698

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