Fourier Channel Attention Powered Lightweight Network for Image Segmentation

The accuracy of image segmentation is critical for quantitative analysis. We report a lightweight network FRUNet based on the U-Net, which combines the advantages of Fourier channel attention (FCA Block) and Residual unit to improve the accuracy. FCA Block automatically assigns the weight of the lea...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151012/
https://www.ncbi.nlm.nih.gov/pubmed/37138592
http://dx.doi.org/10.1109/JTEHM.2023.3262841

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151012/
https://www.ncbi.nlm.nih.gov/pubmed/37138592
http://dx.doi.org/10.1109/JTEHM.2023.3262841

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