DW-UNet: Loss Balance under Local-Patch for 3D Infection Segmentation from COVID-19 CT Images

(1) Background: COVID-19 has been global epidemic. This work aims to extract 3D infection from COVID-19 CT images; (2) Methods: Firstly, COVID-19 CT images are processed with lung region extraction and data enhancement. In this strategy, gradient changes of voxels in different directions respond to...

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Detalles Bibliográficos
Autores principales: Chen, Cheng, Zhou, Jiancang, Zhou, Kangneng, Wang, Zhiliang, Xiao, Ruoxiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623821/
https://www.ncbi.nlm.nih.gov/pubmed/34829289
http://dx.doi.org/10.3390/diagnostics11111942

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623821/
https://www.ncbi.nlm.nih.gov/pubmed/34829289
http://dx.doi.org/10.3390/diagnostics11111942

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