Progressive global perception and local polishing network for lung infection segmentation of COVID-19 CT images

In this paper, a progressive global perception and local polishing (PCPLP) network is proposed to automatically segment the COVID-19-caused pneumonia infections in computed tomography (CT) images. The proposed PCPLP follows an encoder-decoder architecture. Particularly, the encoder is implemented as...

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Detalles Bibliográficos
Autores principales: Mu, Nan, Wang, Hongyu, Zhang, Yu, Jiang, Jingfeng, Tang, Jinshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8272691/
https://www.ncbi.nlm.nih.gov/pubmed/34305181
http://dx.doi.org/10.1016/j.patcog.2021.108168

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8272691/
https://www.ncbi.nlm.nih.gov/pubmed/34305181
http://dx.doi.org/10.1016/j.patcog.2021.108168

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