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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| 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 |