SFA-Net: Scale and Feature Aggregate Network for Retinal Vessel Segmentation

A U-Net-based network has achieved competitive performance in retinal vessel segmentation. Previous work has focused on using multilevel high-level features to improve segmentation accuracy but has ignored the importance of shallow-level features. In addition, multiple upsampling and convolution ope...

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Detalles Bibliográficos
Autores principales: Ni, Jiajia, Liu, Jinhui, Li, Xuefei, Chen, Zhengming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616669/
https://www.ncbi.nlm.nih.gov/pubmed/36312595
http://dx.doi.org/10.1155/2022/4695136

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616669/
https://www.ncbi.nlm.nih.gov/pubmed/36312595
http://dx.doi.org/10.1155/2022/4695136

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