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BCR-UNet: Bi-directional ConvLSTM residual U-Net for retinal blood vessel segmentation

BACKGROUND: High precision segmentation of retinal blood vessels from retinal images is a significant step for doctors to diagnose many diseases such as glaucoma and cardiovascular diseases. However, at the peripheral region of vessels, previous U-Net-based segmentation methods failed to significant...

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Detalles Bibliográficos
Autores principales:	Yi, Yugen, Guo, Changlu, Hu, Yangtao, Zhou, Wei, Wang, Wenle
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Public Health
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722738/ https://www.ncbi.nlm.nih.gov/pubmed/36483248 http://dx.doi.org/10.3389/fpubh.2022.1056226

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