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Atrous residual convolutional neural network based on U-Net for retinal vessel segmentation

Extracting features of retinal vessels from fundus images plays an essential role in computer-aided diagnosis of diseases, such as diabetes, hypertension, and cerebrovascular diseases. Although a number of deep learning-based methods have been used in this field, the accuracy of retinal vessel segme...

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Detalles Bibliográficos
Autores principales: Wu, Jin, Liu, Yong, Zhu, Yuanpei, Li, Zun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9394801/
https://www.ncbi.nlm.nih.gov/pubmed/35994494
http://dx.doi.org/10.1371/journal.pone.0273318