TDD-UNet:Transformer with double decoder UNet for COVID-19 lesions segmentation

The outbreak of new coronary pneumonia has brought severe health risks to the world. Detection of COVID-19 based on the UNet network has attracted widespread attention in medical image segmentation. However, the traditional UNet model is challenging to capture the long-range dependence of the image...

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Detalles Bibliográficos
Autores principales: Huang, Xuping, Chen, Junxi, Chen, Mingzhi, Chen, Lingna, Wan, Yaping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664702/
https://www.ncbi.nlm.nih.gov/pubmed/36403357
http://dx.doi.org/10.1016/j.compbiomed.2022.106306

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664702/
https://www.ncbi.nlm.nih.gov/pubmed/36403357
http://dx.doi.org/10.1016/j.compbiomed.2022.106306

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