most citedLUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

eess.IV2023★ 2 cited

LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images

Jonathan Fhima, Jan Van Eijgen, Hana Kulenovic +7

The retina is the only part of the human body in which blood vessels can be accessed non-invasively using imaging techniques such as digital fundus images (DFI). The spatial distri…