Blood Vessel Segmentation of Retinal Image Based on Dense-U-Net Network

The accurate segmentation of retinal blood vessels in fundus is of great practical significance to help doctors diagnose fundus diseases. Aiming to solve the problems of serious segmentation errors and low accuracy in traditional retinal segmentation, a scheme based on the combination of U-Net and D...

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Detalles Bibliográficos
Autores principales: Li, Zhenwei, Jia, Mengli, Yang, Xiaoli, Xu, Mengying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8705734/
https://www.ncbi.nlm.nih.gov/pubmed/34945328
http://dx.doi.org/10.3390/mi12121478

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8705734/
https://www.ncbi.nlm.nih.gov/pubmed/34945328
http://dx.doi.org/10.3390/mi12121478

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