SERR-U-Net: Squeeze-and-Excitation Residual and Recurrent Block-Based U-Net for Automatic Vessel Segmentation in Retinal Image

METHODS: A new SERR-U-Net framework for retinal vessel segmentation is proposed, which leverages technologies including Squeeze-and-Excitation (SE), residual module, and recurrent block. First, the convolution layers of encoder and decoder are modified on the basis of U-Net, and the recurrent block...

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Detalles Bibliográficos
Autores principales: Wang, Jinke, Li, Xiang, Lv, Peiqing, Shi, Changfa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8371614/
https://www.ncbi.nlm.nih.gov/pubmed/34422093
http://dx.doi.org/10.1155/2021/5976097

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8371614/
https://www.ncbi.nlm.nih.gov/pubmed/34422093
http://dx.doi.org/10.1155/2021/5976097

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