Retinal Vascular Image Segmentation Using Improved UNet Based on Residual Module

In recent years, deep learning technology for clinical diagnosis has progressed considerably, and the value of medical imaging continues to increase. In the past, clinicians evaluated medical images according to their individual expertise. In contrast, the application of artificial intelligence tech...

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Detalles Bibliográficos
Autores principales: Huang, Ko-Wei, Yang, Yao-Ren, Huang, Zih-Hao, Liu, Yi-Yang, Lee, Shih-Hsiung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10295602/
https://www.ncbi.nlm.nih.gov/pubmed/37370653
http://dx.doi.org/10.3390/bioengineering10060722

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10295602/
https://www.ncbi.nlm.nih.gov/pubmed/37370653
http://dx.doi.org/10.3390/bioengineering10060722

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