ERGPNet: lesion segmentation network for COVID-19 chest X-ray images based on embedded residual convolution and global perception

The Segmentation of infected areas from COVID-19 chest X-ray (CXR) images is of great significance for the diagnosis and treatment of patients. However, accurately and effectively segmenting infected areas of CXR images is still challenging due to the inherent ambiguity of CXR images and the cross-s...

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Detalles Bibliográficos
Autores principales: Yue, Gongtao, Yang, Chen, Zhao, Zhengyang, An, Ziheng, Yang, Yongsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679680/
https://www.ncbi.nlm.nih.gov/pubmed/38028767
http://dx.doi.org/10.3389/fphys.2023.1296185

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679680/
https://www.ncbi.nlm.nih.gov/pubmed/38028767
http://dx.doi.org/10.3389/fphys.2023.1296185

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